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 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 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 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 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 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 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

The Role:

We are seeking a Senior Data Platform Engineer to join our dynamic and growing team, responsible for building, scaling, and optimizing our cloud-native data platform. You will design and implement scalable data pipelines that power business-critical analytics, real-time insights, and AI/ML solutions. As an experienced data architect and builder, you will have the opportunity to redefine our data infrastructure to enable the next generation of products and drive innovative data initiatives.

Roles and Responsibilities:

- Design, Develop & Deploy scalable Data Platform with real-time and batch processing solutions

- Write highly scalable code by following best practices in concurrency, resource optimization, and fault tolerance.

- Build and maintain the Infra with best IoC practices

- Identify and implement internal process improvements, including automating manual tasks, optimizing data flow, and re-designing infrastructure for higher scalability and resilience.

- Develop automated monitoring, alerting, and logging systems for pipelines to ensure reliability, uptime, and data quality.

- Build and maintain data tools that enable analytics, BI, and data science teams to experiment and optimize their workflows.

- Ensure end-to-end data governance by implementing policies for data quality, security, and compliance.

- Optimize data models and architectures to power machine learning, reporting, and real-time analytics.

- Collaborate closely with data scientists and product engineers to integrate ML models into production systems and improve system functionality.

- Work with stakeholders across the organization to ensure alignment between data infrastructure and business needs.

Mandatory Qualifications:

- 4+ years of hands-on experience in Building and managing Large Scale Data Platforms.

- Experience with Version control, CI/CD pipelines, Kubernetes, Docker, and IaC tools.

- Strong Experience in Building and Maintaining Data Intensive APIs and Distributed Data Processing Systems

- Strong programming skills in Scala, Golang, and optimizing SQL queries.

- Experience with both relational SQL and NoSQL databases

- Strong understanding of REST APIs, Microservices, event-driven architectures, and Stream processing frameworks.

- Experience working in cross-functional, agile environments.

- Open-source contributions or active participation in developer communities.

- Prior experience in a product-based company is highly preferred.

Introduction:

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

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

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

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

Job Summary 

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

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

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

Key Responsibilities 

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

 Education & Experience 

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

Who We Are

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

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

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

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

Platform Manager QE – SaaS Platform 

Location: Coimbatore / Bangalore
Experience: 10 to 14 Years

Who we are and What we do?

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

Glimpse of our Team

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

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

What will you be responsible for?

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

What do we require? (Must Have)

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

What do we desire?

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

What You Bring as a Platform QE Manager at AppViewX

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

What brings us together?

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

What’s more in store?

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

Why AppViewX?

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

Equal Opportunity Statement

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

Senior Solution Support Engineer – Technical Assistance Centre
Location: Coimbatore

Experience: 3+ Years

Who we are and What we do?

AppViewX is the pioneer and leader in certificate and key lifecycle automation, infrastructure orchestration, and IoT and DevOps security solutions. AppViewX automates NetOps, SecOps, and DevOps for six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. And, we’re only getting started. AppViewX is headquartered in New York, U.S. with additional offices in U.K., Australia and three development centers of excellence in India.

What will you be responsible for?

We, at AppViewX, are seeking a skilled, determined Solution Support Engineer with a collaborative spirit. You will handle and gracefully address customer inquiries, concerns and suggestions. You will optimize your platform to enhance smooth operations and experiences. 

• You will design and implement AppViewX Platform to Solve the toughest automation problems the customer is trying to solve
• You will be the final point of escalation for the customer.
• You will use your deep technical experience and critical thinking skills to solve issues or provide a workaround for the customer and create a follow on ticket if required
• You will capture and create new content - L2 Engineers are responsible for creating and improving content for the benefit of all support. Your influence and expertise will be felt throughout the organization as you solve the same (Documentation)
• You will migrate the customer to the latest code of AppViewX and make this migration very smooth
• You will make sound judgments when dealing with issues that arise during troubleshooting and have the skills to determine the appropriate action to be taken for a given situation; and are able to prioritize instantly to prevent missed deadlines
• You will act on the ability to generate required reports from the system as well as read and utilize information, if deemed necessary
• You will provide feedback and suggestions to management for improved customer satisfaction, process improvements and system enhancements, if deemed necessary
• You are open to work in a 24*7 environment 

What do we require? 

• Excellent Business communication skills & soft skills to handle international customers effectively.
• Certified in Kubernetes, Networking & Systems Certifications such as RHCE, Linux+, Network+ or CCNA, any Security certifications are an added positive.
• You are a voracious learner and have the desire and ability to become a deep expert in hundreds of use cases across multiple products.
• You take charge and understand that all the expertise in the world is useless if you can’t own finding the solution and conveying the exact solution to the customer.
• You have hands-on experience in Linux and Windows Server operating systems.
• You have hands-on and understanding of Networking, Security, Certificate Management (PKI) platforms.
• You have excellent experience in management, deployments and hotfix patching of applications.
• You possess the ability to troubleshoot and decode problems based on previous experience.
• You possess the knowledge of Python or any scripting language as an advantage.
• You are passionate about learning new products/technologies continuously at a technical and troubleshooting level. 

What brings us together?

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

What’s more in store? 

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

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

Why AppViewX? 

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

AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.All qualified applicants will be considered regardless of their color, religion, sex, sexual orientation, National origin, age, disability, gender identity, or veteran status. Attractive compensation (salary and bonus) with benefits including 401K program, medical, dental and vision benefits as well as employer-provided life insurance. Equal opportunity for the win.

Performance Engineer

Location: Coimbatore/Bangalore

Experience: 3+ years

Who we are and What we do?

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

Glimpse of our Team

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

What will you be responsible for?

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

are faster, cleaner, and require less maintenance

What do we require?

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

What do we desire?

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

What brings us together?

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

What’s more in store?

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

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

Why AppViewX?

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

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

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

Who we are and What we do?

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

What will you be responsible for?

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

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

What do we require?

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

What do we desire?

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

What brings us together?

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

What’s more in store?

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

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

 Why AppViewX?

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

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

Lead Engineer - DevOps
Experience: 7+ years 10yrs
Location: Bangalore / Coimbatore

Who we are and What we do?

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

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

What will you be responsible for?

• Collaborate closely with the Product Engineering team to deliver scalable and reliable solutions
• Participate in end-to-end DevOps initiatives, addressing real-world challenges in network operations
• Work effectively with cross-functional teams to plan, estimate, and execute deliverables
• Apply industry-relevant estimation techniques to support project planning and execution
• Demonstrate strong team collaboration and ownership while driving outcomes
• Continuously learn and adopt new technologies to stay current with industry trends
• Leverage network domain expertise (preferred) to enhance solution design and troubleshooting

What do we require?

• Linux/Unix administration (Redhat/Centos preferred)
• Strong coding skills in Python combined with problem-solving skills
• Experience with AWS/Azure/Google Cloud
• In depth knowledge of Docker containers and Kubernetes.
• Hands-on experience with Helm charts and terraform scripting.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
• Hands on experience with CI and CD tools (Jenkins, Nexus, Gitlab Etc.)
• Experience in working with microservices environments.
• Strong inclination for automation and test-driven development.
• Strong work ethic and ability to own projects/components

What do we desire?

• Experience with anyone of the web development frameworks (Flask/Django/Bottle) and experience with restful APIs.
• Hands-on experience with Configuration Management tools like ansible/puppet
• Experience in VMware/OpenStack/KVM/Proximo platform management is an added advantage
• Knowledge of Istio, Amazon EKS and GKE
• Working knowledge on NoSQL databases (MongoDB)
• Working Knowledge of ELK, Kibana, Grafana and Hashi Corp Vault/Consul.
• Excellent verbal and written communication skills

What brings us together?

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

What’s more in store?

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

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

 Why AppViewX?

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

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

Who we are

About Stripe

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

About the Organization 

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

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

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

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

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

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

What you’ll do

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

Responsibilities

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

Who you are

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

Minimum requirements

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

Preferred Qualifications

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

About The 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

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

Responsibilities:

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

Required Qualifications:

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

Preferred Qualifications:

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

Company Profile:

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

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

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

ZETA IN THE NEWS!

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

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

Key Responsibilities

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

Required Qualifications:

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

Preferred Qualifications:

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

WHO WE ARE 

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

PEOPLE & CULTURE AT ZETA

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

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

ZETA IN THE NEWS!

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

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

Key Responsibilities

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

Required Qualifications

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

Preferred Qualifications

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

WHO WE ARE 

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

PEOPLE & CULTURE AT ZETA

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

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

ZETA IN THE NEWS!

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

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

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

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

Key Responsibilities:

Threat Modeling & Security Validation

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

Embedding Security into the SDLC

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

Emerging Threat Monitoring & Proactive Defense

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

Security Awareness & Policy Implementation

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

What You Need to Succeed

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

Nice to Have

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

WHO WE ARE

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

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

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

ZETA IN THE NEWS!

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

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

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

You Will:

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

You Have:

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

Bonus Skills:

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

Company Summary:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Position Expectations

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

Qualifications

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID - 1273354568

As a Senior Engagement Manager, Professional Services Sales, you will be a key leader within the Sales organization and work cross-functionally with the Application Modernization Platform (AMP), Professional Services (Delivery), and Customer Success organizations to drive professional services sales and subscription renewals. This is a quota carrying position.

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

An ideal candidate will have

• A BS degree in Computer Science, Mathematics, Engineering or equivalent professional experience
• 7+ years experience in the sale of Professional Services and/or technology solutions at an enterprise software company
• Experience owning their own PS quota, pipeline generation, and forecasting
• An understanding of the intersection of AI & Modernization
• Strong presentation skills: Showing the value, capabilities, and differentiators of complex service solutions using methodologies and service offerings
• The ability to collaborate as a part of a larger account team to build and execute complex account strategies and sales plays
• An ability to scope and estimate projects
• Ability to travel up to 20% of the time

Other helpful skills include

• Experience with delivery of professional services (ie. Project Manager/Consultant, Pre-Sales or Sales)
• General knowledge of Databases (RDBMS, SQL, NoSQL)
• Knowledge of the software development lifecycle and associated development methodologies (e.g. Agile, Waterfall)
• Knowledge of software architecture including both cloud and on-premise technologies e.g. AWS, Azure, GCP, Kubernetes, Openshift

What you’ll do at MongoDB

• Understand customers’ overall portfolio of applications and datasets, IT and business priorities and success measures to adapt, develop and design specific digital transformation approaches involving MongoDB technologies
• Help transform companies by translating their use-cases, pains, and needs into scoped projects and statements of work (SOWs)
• Partner with a best-in-class sales organization and work effectively as a part of a larger team to develop account strategies and plans for the successful adoption, growth, and utilization of MongoDB
• Have a solid sense of ownership, driving all deals or technical scoping from inception to closure
• Manage the Professional Services pipeline for bookings and revenue forecasts for your region
• Expertly articulate the business value of professional services, talking knowledgeably and credibly about service delivery issues, challenges, strategies, approaches, and mitigating risks
• Work with our practice team to propagate internal skills and experience through the development of repeatable assets (estimates, proposals, SOWs, templates, tools, case studies etc.)
• Work with the delivery team to transition any agreed upon project scope and customer expectations to ensure successful project delivery
• Proactively seek opportunities to support and mentor other team members and share best practices
• Have situational awareness and react appropriately in group settings

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.

As an ideal candidate, you will have

• Ideally 8 - 11 years of related experience in a customer facing role, minimum 3 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn

MongoDB Product Suite Mastery

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID - 1273351772

About the Role

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

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

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

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

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

Technologies You’ll Use

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

What You’ll Do

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

Skills We’re Looking For

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

Bonus Skills​

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

#LI-HYBRID

#LI-AV1

  Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

 Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 
  

Role Overview

As a Staff Engineer on our Coupang intelligent Cloud Infrastructure team, you will design and scale the intelligent nervous system of our CIC Cloud AI platform. You won't just be moving packets; you’ll be building the orchestration and routing layers that ensure our LLMs and foundation models are highly available, low-latency, and cost-efficient. You will own the end-to-end lifecycle of traffic management from global load balancing to hardware-aware request routing across thousands of accelerators.

What You Will Do

• Intelligent Routing: Design and implement sophisticated load-balancing algorithms tailored for AI workloads (training, inference), optimizing request distribution based on model availability, and accelerator health. 

• Inference Orchestration: Architect and evolve our inference infrastructure to support seamless model deployment, auto-scaling, and multi-AZ failover. 

• Performance Engineering: Drive initiatives to minimize tail latency (P95 /P99) and maximize throughput using advanced batching, caching, and streaming token delivery techniques. 

• Fleet Automation: Build robust infrastructure-as-code and CI/CD pipelines to manage dynamic compute fleets, ensuring they automatically scale to meet production and research demands. 

• Observability & Optimization: Leverage deep telemetry data to tune system performance and hardware-agnostic scheduling across diverse GPU/TPU environments. 

• Technical Leadership: Lead cross-functional initiatives across infrastructure and SW team, ML teams, providing mentorship and setting up the long-term technical roadmap for traffic management. 

Basic Qualifications

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

• Experience: 8–12 years of progressive software engineering experience, with a heavy emphasis on distributed systems, cloud-native architectures, or platform operations. 

• Programming: Strong proficiency in Go or Python, with a deep understanding of networked systems and performance optimization. 

• Orchestration: Expert-level knowledge of Kubernetes internals (scheduling, controllers) and containerization ecosystems. 

• Traffic Management: Proven experience with load balancing, service mesh, and request routing at scale. 

• Operational Excellence: A strong "ownership" mindset with a track record of maintaining mission-critical, high-availability systems in production. 

Preferred Qualifications

• AI/ML Domain Knowledge: Prior experience building infrastructure specifically for LLM inference or large-scale training clusters. 

• Low-Level Optimization: Familiarity with inference, including mixed precision, kernel tuning, or custom hardware accelerators. 

• Public/Private Cloud: Experience managing hybrid-cloud or multi-AZ deployments across AWS, Azure, or GCP. 

• Compliance: Experience operating in regulated environments with strict security and compliance requirements. 

Type of work model 

• Hybrid

Details to consider 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 
   

Privacy Notice  

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 
  

Role Overview

As a Staff Engineer on our Coupang intelligent Cloud Infrastructure team, you will design and scale the intelligent nervous system of our CIC Cloud AI platform. You won't just be moving packets; you’ll be building the orchestration and routing layers that ensure our LLMs and foundation models are highly available, low-latency, and cost-efficient. You will own the end-to-end lifecycle of traffic management from global load balancing to hardware-aware request routing across thousands of accelerators.

What You Will Do

• Intelligent Routing: Design and implement sophisticated load-balancing algorithms tailored for AI workloads (training, inference), optimizing request distribution based on model availability, and accelerator health. 

• Inference Orchestration: Architect and evolve our inference infrastructure to support seamless model deployment, auto-scaling, and multi-AZ failover. 

• Performance Engineering: Drive initiatives to minimize tail latency (P95 /P99) and maximize throughput using advanced batching, caching, and streaming token delivery techniques. 

• Fleet Automation: Build robust infrastructure-as-code and CI/CD pipelines to manage dynamic compute fleets, ensuring they automatically scale to meet production and research demands. 

• Observability & Optimization: Leverage deep telemetry data to tune system performance and hardware-agnostic scheduling across diverse GPU/TPU environments. 

• Technical Leadership: Lead cross-functional initiatives across infrastructure and SW team, ML teams, providing mentorship and setting up the long-term technical roadmap for traffic management. 

Basic Qualifications

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

• Experience: 8–12 years of progressive software engineering experience, with a heavy emphasis on distributed systems, cloud-native architectures, or platform operations. 

• Programming: Strong proficiency in Go or Python, with a deep understanding of networked systems and performance optimization. 

• Orchestration: Expert-level knowledge of Kubernetes internals (scheduling, controllers) and containerization ecosystems. 

• Traffic Management: Proven experience with load balancing, service mesh, and request routing at scale. 

• Operational Excellence: A strong "ownership" mindset with a track record of maintaining mission-critical, high-availability systems in production. 

Preferred Qualifications

• AI/ML Domain Knowledge: Prior experience building infrastructure specifically for LLM inference or large-scale training clusters. 

• Low-Level Optimization: Familiarity with inference, including mixed precision, kernel tuning, or custom hardware accelerators. 

• Public/Private Cloud: Experience managing hybrid-cloud or multi-AZ deployments across AWS, Azure, or GCP. 

• Compliance: Experience operating in regulated environments with strict security and compliance requirements. 

Type of work model 

• Hybrid

Details to consider 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 
   

Privacy Notice  

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

A Career with Point72's Technology Team

As Point72 reimagines the future of investing, our Technology group is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity.

What you'll do

• Lead the design, development, and operation of scalable, enterprise-grade AI/ML architectures and systems with a strong emphasis on reliability, availability, and performance.
• Lead and mentor a team of engineers, driving technical direction, code quality, and iterative delivery of large-scale solutions.
• Partner closely with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products.
• Own the end-to-end lifecycle of GenAI services, including LLM inference, model serving, and proxy/gateway layers that support multiple downstream applications.
• Define and uphold engineering best practices around observability, scalability, security, and cost efficiency for AI/ML platforms.
• Evaluate tools, technologies, and processes to ensure the highest quality and performance of AI/ML systems.
• Stay abreast of the latest advancements in AI/ML technologies and methodologies, and translate them into pragmatic solutions for the business.
• Ensure compliance with industry standards and best practices in AI/ML.

What's required

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in software/AI/ML engineering, with a proven track record of successful delivery of complex, production-grade systems.
• Demonstrated experience building large-scale enterprise-grade services with high reliability, availability, and observability (SLO/SLA-driven environments).
• Experience leading other engineers in delivering large-scale solutions iteratively, including setting technical vision, reviewing designs, and growing team capabilities.
• Proficiency in programming languages such as Python, Java, or C++.
• Strong understanding of distributed systems, cloud platforms (AWS/Azure/GCP), containerization (Docker/Kubernetes), and modern CI/CD practices.
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders and influence across teams.
• Commitment to highest ethical standards.

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.

Role Overview

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

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

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

Platform Architecture, Engineering & Reliability

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

Technical Leadership & Collaboration

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

Experience

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

Technical Skills

Cloud & Infrastructure

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

Infra, DevOps, Automation and Building Platform

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

Networking & Security

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

Observability & Operations

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

AI & Platform Intelligence

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

Nice To Have

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

Role Overview

At JazzX, we are building a modern cloud-native platform ecosystem focused on scalability, reliability, automation, security, and developer self-service. We leverage Microsoft Azure, Cloudflare, AI/LLM-driven operations, and Agentic workflows to simplify infrastructure management, deployment automation, incident response, and platform operations across multiple environments and customer instances.

We are looking for a highly skilled Senior Platform Engineer who can design, build, automate, and operate large-scale cloud platforms while driving engineering excellence across infrastructure, networking, security, CI/CD, observability, and platform automation.

This role requires strong hands-on technical expertise, ownership mindset, system thinking, and the ability to collaborate across engineering, DevOps, security, and product teams.

Platform Engineering & Operational Excellence

• Design, build, and operate scalable, secure, and highly available cloud infrastructure on Microsoft Azure
• Build and manage platform services including networking, authentication, CI/CD, observability, deployment automation, and self-service systems
• Develop reusable Infrastructure as Code (IaC) frameworks using Terraform, GitOps, and modern automation practices
• Design secure network architectures including VNets, private networking, routing, WAF, API gateways, and Zero Trust principles
• Build automated deployment, environment provisioning, and multi-instance platform management workflows
• Improve platform reliability, operational stability, monitoring, alerting, logging, tracing, and incident response processes
• Drive operational automation, platform resilience, release governance, rollback strategies, and deployment reliability
• Build developer productivity tooling and self-service workflows for platform operations and environment management
• Contribute hands-on using Python, Go, or modern programming languages to build scalable systems, internal platforms, and automation frameworks
• Apply strong system design, distributed systems, troubleshooting, and problem-solving skills across cloud, network, deployment, and infrastructure layers
• Leverage AI/LLM-driven workflows, coding agents, and Agentic systems to improve operational efficiency, automation, incident management, and platform intelligence
• Drive cloud cost optimization, usage visibility, anomaly detection, and operational efficiency initiatives
• Strong understanding of SDLC, DevOps, Agile methodologies, release governance, production operations, and Site Reliability Engineering (SRE) practices
• Strong ownership mindset with focus on scalability, automation, reliability, operational excellence, and developer productivity

Collaboration & Leadership

• Partner with engineering, security, architecture, and product teams to define platform standards, operational processes, and long-term technical strategy
• Work closely with application teams to improve platform adoption, deployment reliability, and developer experience
• Collaborate with security teams to implement authentication, authorization, governance, compliance, and operational security standards
• Participate in architecture reviews, production readiness reviews, operational planning, and incident management discussions
• Mentor engineers and contribute to platform engineering best practices, technical standards, and documentation
• Drive technical discussions and contribute to platform modernization and intelligent automation initiatives

Experience

• 6+ years of experience in Platform Engineering, DevOps, SRE, or Cloud Infrastructure Engineering
• Hands-on experience managing production-scale Azure environments and enterprise-grade CI/CD systems
• Experience working with Kubernetes, cloud-native platforms, infrastructure automation, observability, and distributed systems
• Experience supporting multi-environment and multi-tenant platform operations at scale
• Experience with AI-assisted engineering workflows, operational tooling, or intelligent automation systems is a strong plus
• Strong communication, collaboration, and technical leadership capabilities

 Technical Skills

Cloud & Infrastructure

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

Infra, DevOps, Automation and Building Platform

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

Networking & Security

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

Observability & Operations

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

AI & Platform Intelligence

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

Nice To Have

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

Why Join Us

At JazzX AI, you have the opportunity to become an integral part of a pioneering team that is pushing the envelope of AI capabilities to create an autonomous intelligence driven future. We champion bold innovation, continuous learning, and embrace the challenges and rewards of crafting something genuinely groundbreaking.

Your work will directly contribute to pioneering solutions that have the potential to transform industries and redefine how we interact with technology. As an early member of our team, your voice will be pivotal in steering the direction of our projects and culture, offering a unique chance to leave your mark on the future of AI.

We offer a competitive salary, equity options, and an attractive benefits package, including health, dental, and vision insurance, flexible working arrangements, and more.

We are an equal opportunity employer and celebrate diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

The Challenge 

We are looking for a Senior level SDET to support our product development teams. As the Principal SDET, you will play a crucial role in shaping and leading our software testing strategy. You will be responsible for designing, developing, and implementing robust test automation frameworks, mentoring a team of SDETs (Software Development Engineer in Test), and ensuring the overall quality and reliability of our software products. 

Your Mission 

Job Title: Java Microservices Developer - Bangalore

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 7+yrs

Skills and Qualifications:

7+ years of experience in backend development with a strong focus on Java, Microservices and Kafka

Java Microservices Back end Developer

Java Sprint boot Microservices with expected knowledge of Kafka, Basic knowledge of Database. Experience with TDD and BDD. Must have experience with one of cloud (GCP, AWS or Azure). Also experience with Kubernetes and containers

1. Hands-on experience on Spring boot, Webservices, Microservices, SOAP and REST 
2. Drive analysis of business requirements, functional requirements, and technical specification documents to design 
   and develop technical solutions that meet business needs
3. Assess opportunities for application and process improvement and obtain broader buy-in across global stakeholders 
4. Pro-actively share and report risks, issues, challenges, blockers and forthcoming tasks with the stakeholders and team 
5. Expertise in leading and managing technical aspects of API framework design and development
6. Understanding of overall production Incidents / RCA for any feature that is delivered. \
7. Working knowledge on --Java , Spring boot , microservices , AWS design , KAFKA ,Kubernetes ECS3 , Workflows such as Camunda BPM
   
   

Preferred Skills:

Experience with microservices architecture. Familiarity with CI/CD tools and practices (Jenkins, GitLab). Knowledge of Kafka is preferred.

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Job Title: Java Microservices Developer - Bangalore

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 7+yrs

Skills and Qualifications:

7+ years of experience in backend development with a strong focus on Java, Microservices and Kafka

Java Microservices Back end Developer

Java Sprint boot Microservices with expected knowledge of Kafka, Basic knowledge of Database. Experience with TDD and BDD. Must have experience with one of cloud (GCP, AWS or Azure). Also experience with Kubernetes and containers

1. Hands-on experience on Spring boot, Webservices, Microservices, SOAP and REST 
2. Drive analysis of business requirements, functional requirements, and technical specification documents to design 
   and develop technical solutions that meet business needs
3. Assess opportunities for application and process improvement and obtain broader buy-in across global stakeholders 
4. Pro-actively share and report risks, issues, challenges, blockers and forthcoming tasks with the stakeholders and team 
5. Expertise in leading and managing technical aspects of API framework design and development
6. Understanding of overall production Incidents / RCA for any feature that is delivered. \
7. Working knowledge on --Java , Spring boot , microservices , AWS design , KAFKA ,Kubernetes ECS3 , Workflows such as Camunda BPM
   
   

Preferred Skills:

Experience with microservices architecture. Familiarity with CI/CD tools and practices (Jenkins, GitLab). Knowledge of Kafka is preferred.

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

We are looking for a Solutions Engineer – Lead Engineer to join our Corporate Technology team. As a Solutions Engineer, you will be expected to leverage your extensive experience and technical expertise to design, implement, and optimize Windows-based solutions in enterprise environments.

What You'll Do:

• Architectural Design: Lead the design and development of complex solutions, ensuring alignment with business objectives and architectural principles.
• AI observability for platforms and assistants. Instrument agents and automations with metrics for accuracy, drift, latency, containment, and user satisfaction; wire dashboards (Grafana/ELK) and feedback loops into CI/CD so models and prompts improve continuously—consistent with the JD’s observability focus
• Technical Leadership: Provide guidance and mentorship to engineering teams in the implementation of Windows-based solutions, ensuring best practices and adherence to industry standards.
• Solution Development: Collaborate with cross-functional teams to translate business requirements into scalable and secure Windows architectures, integrating with existing systems and technologies.
• Technology Evaluation: Research and evaluate emerging technologies and tools, recommending innovative solutions to enhance system performance, reliability, and security.
• Risk Management: Identify and mitigate risks associated with Windows-based solutions, ensuring compliance with regulatory requirements and security standards.
• Troubleshooting and Optimization: Investigate and resolve complex technical issues related to Windows infrastructure, optimizing performance, and minimizing downtime.
• Automation and DevOps: Knowledge of Gitops, Scripting and automation would be an essential part of the role. Knowledge of writing automations in either PowerShell/Python would be a mandatory requirement for this role.

What You’ll Need:

• 6+ years architecting and implementing enterprise infrastructure solutions with a proven track record of designing scalable, resilient, and secure systems including integration with Windows and cloud platforms.
• Expertise in Windows Server, Active Directory, Microsoft Azure/AWS virtualization (EC2, Azure VMs, Azure Virtual Desktop), and Microsoft Defender. Knowledge of macOS integration with enterprise identity platforms (Active Directory, Azure AD, Okta), including single sign-on (SSO) and federated authentication. Ability to design and optimize multi-platform architectures (Windows, macOS, Linux) for scalability, resilience, and security.
• Proficiency with Microsoft Intune for endpoint management (MDM/MAM) and understanding of hybrid architecture and cloud shared responsibility model. Proficiency in macOS device management using tools such as Jamf Pro, Kandji, or Apple Business Manager, including MDM/MAM strategies for hybrid and multi-platform environments. Experience with automation and scripting on macOS (e.g., Bash, Zsh, AppleScript, Python), enabling workflow optimization and cross-platform orchestration
• Strong troubleshooting skills for macOS infrastructure, including performance optimization, incident response, and root cause analysis.
• PowerShell and Python coding/scripting capabilities for automation and workflow development
• Experience with GitOps, CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible, ARM templates)
• Proficiency in cloud-native and multi-cloud architectures (Kubernetes, Docker, serverless)
• Familiarity with observability and monitoring platforms (Prometheus, Grafana, ELK stack) and AI-driven automation
• Familiarity with Exchange Online, SharePoint, Microsoft Power Platform would be a plus
• Experience implementing zero trust solutions (Zscaler, CrowdStrike) would be a plus
• Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, MCSE: Core Infrastructure, or AWS Solutions Architect would be a plus
• Good to have exposure with AI/ML integration, data analytics, and automation in enterprise environments.

Arcesium's Personal Data Privacy Notice for Candidates is linked here. 

The Team  

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

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

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

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

Role purpose  

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

How you contribute  

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

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

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

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

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

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

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

Skills, competencies and qualifications  

Required:  

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

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

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

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

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

• Expertise in CI/CD, Containerization and Kubernetes. 

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

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

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

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

Educational qualifications 

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

Desirable:  

• Experience with PHP.  

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

Other requirements  

• This position requires the ability to be On Call.  

Key relationships  

There are no direct reports to this role.  

Key stakeholders include:  

• Service owners and their teams.  

• Technical leadership and senior management, including VPs.  

• Engineering teams.  

• Network and Telecom teams.  

• Customer service teams.  

• Compliance and infosec teams.  
   

Reporting Structure 

• This position reports to the Senior Engineering Manager  

About Zuora

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

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

The Opportunity

We’re looking for a strong technical contributor to drive AI/ML innovation and deliver real business impact through intelligent solutions.

You’ll:

• Identify high-impact opportunities using AI/ML to solve customer and business problems
• Partner with stakeholders and influence decisions through data-driven insights
• Build and deploy end-to-end ML models (including LLMs) using structured and unstructured data
• Collaborate with engineering teams to develop scalable data and ML pipelines
• Take full ownership from idea to production, delivering measurable business outcomes

This role is ideal for someone who can combine deep technical expertise with business thinking to simplify complexity and build impactful, production-ready AI solutions.

About You

1. 7+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
2. Curious mind to learn, explore and identify biggest customer opportunities
3. Build strong relationships across both technical and business/product teams, earn trust with leadership
4. Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay
5. Willingness to dive deep into the tech stack as well as hands-on coding
6. Experience in building end to end ML models, across the ML lifecycle
7. Strong communication and leadership presence
8. Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite
9. Experience in the following domains/industries preferred- SaaS, ecommerce, pricing or payments
10. Bachelors/Masters in a technical or natural sciences domain from a top university

Even if you feel like you meet some, but not all of the qualifications, we would love it if you take the time to apply to the role. As we evolve and scale up a relatively new team, we strongly believe that a diverse team structure will accelerate progress towards our objectives.

The Team

Zuora Platform Tech is at the forefront of technological and business transformation, tackling complex, ambiguous problems to drive innovation. As part of the AIMS team (AI, ML, and Science), you’ll work on applying advanced AI and data science to enable total monetization across Zuora’s product suite and beyond.

The team operates at the intersection of AI, business strategy, and product innovation, solving high-impact problems like pricing, forecasting, segmentation, and optimization. The tech stack includes Java, Spring, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, and AngularJS.

Benefits

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

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

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

#ZEOLife at Zuora

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

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

Our Commitment to an Inclusive Workplace

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

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

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

Job Title: AI Applications Engineer II

Location: Bangalore/ Chennai (Hybrid)

About the Role

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

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

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

Key Responsibilities

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

Key Requirements

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

Why You’ll Love Working Here

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

What we want to accomplish and why we need you

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

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

Our tech stack includes GCP, Kubernetes, Golang, Python, React, C++, TypeScript, JavaScript, Swift, Kotlin, gRPC, and GraphQL.

What will you do everyday?

You’ll create engaging product experiences on iOS/Android and services that delight and empower doctors with experiences that they could never imagine with their health IT systems.  You have an equal grasp of iOS and Android native development expertise in Swift/Objective-C/Kotlin/Java. You will work with the product, design and operations team to build the best product and support it. You will be DevOps friendly and you will write, test and deploy your own code.  While you know how to work hard, you also know how to have fun at work, make friends with your colleagues and contribute to our diverse and inclusive culture.  You will also contribute to making doctors’ lives better by reducing the administrative burden they face every day. You will be hungry to contribute and make a difference in the product quality.

Ok, you're sold, but what are we looking for in the perfect candidate?

• Expertise: you know how to code.  You understand our tech stack and can be productive with it. In other words, you’ve done this before.
• Action oriented: You love to build.  You know that perfect is the enemy of the good – you like to ship fast and quickly iterate.
• Creativity: You enjoy listening to user feedback and then building product in novel ways. You’re resourceful and enjoy finding alternate paths to success.
• Problem solving: you use data to help point you in the correct direction.  You optimize relentlessly.  You think business and engineering problems are like puzzles and you stick with them until they are solved.
• Humility: You’re humble and love working in a team without ego to deliver products
• Adaptability:  You thrive in a fast-moving organization that uses light-weight process and cutting-edge technology to have a huge impact.
• Confidence: You trust your abilities and you’re ready to push yourself to the next level.

Qualifications*

• 5 to 8 years of work experience
• Proficiency using Android SDK 
• Kotlin experience is a must. Swift is a plus.
• Experience with Android frameworks such as Jetpack compose
• Must have experience with testing tools like JUnit etc.
• Familiarity with RESTful APIs and third-party libraries (e.g., Retrofit, OkHttp, etc.).
• Experience building and shipping apps to Google Play store
• Must have at least 1+ apps on listed in Play store
• Experience in working with large scale distributed applications
• DevOps experience is a plus as well
• Any formal degree is preferred, but not necessary
• Strong grasp of CS fundamentals including algorithms, data structures and design is preferred
• Bachelors/Masters degree from a Tier 1 college or university

* We don’t necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you’ve done most of it and are ready for the challenge of adding some new things to your resume.

Tell me more about Suki

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

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

Key Responsibilities:

• Develop and implement governance strategies, policies, frameworks, and procedures in a multi-cloud environment (GCP, AWS, Azure) to standardize business operations and ensure compliance with regulatory requirements and regulations (SOC 2, HIPAA, GDPR, FedRAMP)

• Work with security teams to effectively enforce Identity and Access Management (IAM) policies and network security best practices across the organization

• Develop and maintain dashboards that would track cloud governance metrics such as security posture, timely key rotation, and compliance

• Collaborate with diverse stakeholders to identify service level objectives (SLOs), key performance indicators (KPIs), and metrics for measuring operational efficiency and compliance

• Work closely with IT, Finance, Security, DevOps, Cloud Architects, and Product Engineering development teams to maintain consistent governance controls across all environments

* This position is based out of one of the offices of our affiliate Acqueon Technologies in India, and will adopt the hybrid work arrangements of that location. You will be a member of the Acqueon team with responsibilities supporting Five9 products, collaborating with global teammates based primarily in the United States.

Requirements:

• 3+ years of working in cloud environment (experience with GCP is highly preferred)

• 3+ years of working with modern public cloud services such as EC2, VPC, S3/GCS, IAM, and AWS/GCP CLI

• Hands-on experience with cloud security controls, identity and access management (IAM), network security, encryption, and data protection tools such as GCP Organization Policy, AWS Config, or Azure Policy

• Proficiency in CI/CD programming, scripting (e.g., Python, PowerShell) and automation tools (e.g., Ansible) for cloud governance and infrastructure management

• Knowledge of automation principles and Infrastructure-as-Code (IaC) tools such as Terraform, AWS CloudFormation, or Azure Resource Manager (ARM)

• Experience establishing and maintaining strong working relationships with a wide variety of business groups (Development, Product, Network Engineering, Voice Engineer, Security, etc.) and being able to translate technical information into business-friendly language

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or other relevant technical field

• Knowledge of Kubernetes best practices

• Experience with Microsoft Active Directory Federation Services (ADFS)

• Experience with Okta integration

• Result orientated, self-starter

• AWS certified

• GCP certified

What we want to accomplish and why we need you.

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

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

What will you do every day?

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

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

On a day to day basis, you will: 

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

QUALIFICATIONS 

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

What We're Looking For

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

Tell me more about Suki

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

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

As a Senior Software Engineering Manager with a strong technical background in building and architecting large-scale, multi-tenant SaaS platforms, you possess the leadership maturity to manage both individual contributors and other managers, effectively translating organizational strategy into clear, actionable team goals. You are specifically driven to manage and grow high-performing engineering teams within the SaaS platform organization in Bangalore. Your expertise includes deep proficiency in high-load distributed systems and a hands-on understanding of modern cloud-native infrastructures.

What You Will Do

Build and Grow Our Bangalore Agent Platform Team: Be the key leader for our Agent Platform engineering team in India. Own the hiring, management, and retention of a high-performing team, ensuring local growth aligns with our global SaaS platform objectives.

Lead Execution and Delivery: Drive the execution of team projects. Partner with individual contributors (ICs) to define tasks, track progress, and ensure timely, high-quality delivery. Manage cross-team dependencies and coordinate with stakeholders (Product Managers, senior leadership) to guarantee alignment and clear communication on status and risks.

Drive Technical Strategy: Oversee the architectural design and scalability for Agent Platform SaaS services. These services interact with millions of agents and process billions of daily requests. You will rely on designated Tech Leads and senior team members for detailed design and architecture.

Ensure Cross-Functional Success: Partner with the Agent Platform engineering leadership, Product Management, and UX designers to strategically define system requirements and deliver features that protect millions of endpoints worldwide.

Foster a World-Class Engineering Culture: Promote engineering excellence and continuous learning. Coach individuals and other managers to achieve their professional goals.

Engage with Leadership: Regularly interact with senior management and executives to influence decisions and gain acceptance for strategic initiatives.

Manage a Hybrid Team: Lead the local Bangalore team within our hybrid work model, fostering strong in-person collaboration and a powerful sense of belonging.

What Experience or Knowledge You Should Bring

Leadership Track Record: A minimum of 8 years of progressive software engineering experience, including 3–5 years of increasing managerial responsibility, with at least 2 years operating at the Manager level or higher.

Management & Development Expertise: Proven success in managing, hiring, mentoring, and developing high-performing engineering teams of 8+ direct reports, including experience managing internationally distributed and cross-functional IC teams.

Core Technical Skills: Strong proficiency and an ability to lead technical strategy in major programming languages such as Java, Go, or Python, coupled with a deep understanding of software design principles.

Distributed Systems & Cloud Scale: Deep background in architecting, building, and scaling high-load, resilient distributed systems within public cloud platforms like AWS or GCP.

Infrastructure & Observability: Solid hands-on and strategic experience with modern infrastructure tooling, including Docker, Kubernetes, Helm, and infrastructure-as-code (e.g., Terraform). Experience with modern monitoring and observability stacks is a strong plus.

Product Delivery & CI/CD: Comprehensive knowledge of the entire SaaS product development lifecycle. Expert-level understanding and application of modern CI/CD practices and tooling, such as Github Actions or ArgoCD, to drive engineering velocity and quality.

Strategic Communication & Business Acumen: Exceptional verbal and written communication, negotiation, and stakeholder management skills. Demonstrated ability to translate complex technical decisions into clear business outcomes and align engineering execution with broader company strategy.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

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

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 12–15+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation.