About the Role 

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

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

What You’ll Be Doing 

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

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

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

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

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

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

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

What You'll have  

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

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

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

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

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

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

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

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

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

#LI-DS4

About the team

About the Role

What you’ll be doing

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

We’re excited if you have

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

#LI-SK8

About the Team 

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). 

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. 

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.

Secure Every Identity, from AI to Human

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

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

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

Job Duties and Responsibilities

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

Required Skills:

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

Education and Certifications

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

#P16568_3435773
#LI_Hybrid

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.

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping both customer-facing and business-facing data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with engineers, product managers, and data scientists to understand data needs, and develop end-to-end data pipelines, solutions, and foundational data sets
• Design and own the data architecture for large-scale projects, making informed decisions about design and operational trade-offs
• Build, launch, and optimize sophisticated data pipelines, data models, and visualizations that support diverse use cases across multiple products or domains
• Define and manage Service Level Agreements (SLAs) for all data sets within areas of ownership
• Implement data security models based on privacy requirements, ensure compliance with safeguards, address data quality issues, and evolve data governance processes
• Solve complex data integration challenges using optimal ETL/ELT patterns, frameworks, and query techniques for both structured and unstructured data sources
• Maintain and enhance existing production processes by optimizing complex code using advanced algorithmic concepts 
• Optimize pipelines, dashboards, frameworks, and systems to streamline data artifact development
• Mentor team members, providing and receiving actionable feedback to foster skill growth and collaboration
• Ensure flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in computer science, Computer Engineering, or a relevant technical field; a master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt 
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Hands-on experience with RDBMS such as MySQL, MS SQL Server, and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Experience with Spark and PySpark to handle large-scale data processing and enhance data pipeline efficiency
• Strong proficiency in Terraform is a must-have.

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub
• Observability: Datadog

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

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. 

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.

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

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.

Senior DevOps Engineer, Cloud Platform
About the Role

We are building a scalable, cloud-native Email-as-a-Service (EaaS) platform to power automated delivery of alerts, reports, and data notifications across our product suite. You will own the infrastructure layer, defining and automating the full lifecycle of email delivery infrastructure using Terraform/OpenTofu and OpenStack/Rancher. This is a high-ownership role where your work directly enables product reliability at scale.

What You Will Do

• Design, implement, and maintain end-to-end IaC pipelines for the email service using Terraform and OpenTofu, covering provisioning, configuration, and teardown.
• Deploy and operate email service infrastructure on OpenStack and Rancher-managed Kubernetes clusters.
• Build and maintain CI/CD pipelines for infrastructure delivery and service rollouts, ensuring zero-downtime deployments.
• Define and enforce networking, DNS, TLS, and IP reputation configurations required for reliable email delivery (SPF, DKIM, DMARC).
• Implement observability stacks (metrics, logging, alerting) for email throughput, delivery rates, bounce/spam rates, and queue health.
• Manage secrets, credentials, and access controls using secrets management tooling and RBAC across environments.
• Collaborate with backend engineers to define infrastructure contracts and service interfaces.
• Conduct capacity planning, load testing, and incident response for the email platform.
• Produce clear IaC documentation, runbooks, and disaster recovery playbooks.

What We Are Looking For

• 6+ years of hands-on DevOps or platform engineering experience in production environments.
• Strong proficiency in Terraform and/or OpenTofu, including module design, state management, and remote backends.
• Solid experience with OpenStack and/or Rancher for container orchestration and VM workload management.
• Working knowledge of Kubernetes, Helm, and cloud-native deployment patterns.
• Experience with email infrastructure specifics: MTA configuration, SMTP relay, bounce handling, deliverability tuning.
• Proficiency in at least one scripting language (Python, Bash, or Go) for automation and tooling.
• Familiarity with GitOps workflows and infrastructure drift detection.
• Strong understanding of networking fundamentals: DNS, TCP/IP, load balancing, firewall rules.

Nice to Have

• Experience with open-source email platforms such as Postfix, Haraka, or similar MTAs.
• Exposure to message queue systems such as RabbitMQ or Kafka for high-volume email dispatching.
• Knowledge of email compliance and deliverability standards (CAN-SPAM, GDPR, ISP feedback loops).
• Prior experience building internal platform teams or shared infrastructure services.

Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India. 

Who We Are.

Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.

Let's talk about the cool stuff you will do at Axi!

The Site Reliability Engineer is accountable for availability, reliability and operational excellence of our technology infrastructure across Axi. Your role is to design, implement & maintain monitoring, alerting and log management solutions. Working in close collaboration with Technology teams through all areas of Development and Operations, the objective is to alert and act upon any business impacting incident before it is reported by the impacted party, and to ensure comprehensive observability and analysis through log management.

Your EDGE Assignment/You Will

• To be the Product Owner for Monitoring and Observability within the Axi Technology Operations Environment
• Review the current environment and propose a roadmap to optimise the product set and manage the lifecycle of existing product.
• Be a key support to technology delivery teams for monitoring & observability during all phases of the product delivery; gather requirements, produce detailed designs, conduct PoCs, recommend and architect solutions.
• Tune and adjust health rules and maintain existing monitoring solutions
• Remove toil by documenting and automating repeatable processes
• Present ideas and designs to a variety of technical or non-technical stakeholders
• Clearly and consistently document and maintain up-to-date processes, creating and maintaining a knowledge base for your product expertise.
• Coach and mentor other team members in your speciality and be keen to build your breadth of knowledge across the SRE & DevOps scope 

Are you the one?

• 5 plus years of experience in Site Reliability Engineering, DevOps, or Observability-focused roles.

• Strong hands-on experience with monitoring and observability platforms such as Datadog.

• Proven ability to create and manage dashboards, alerts, Application Performance Monitoring (APM), RUM, and infrastructure metrics.

• Experience with automation and scripting (any modern language is acceptable).

• Exposure to CI/CD pipelines, containerized environments, and cloud-native platforms mainly Azure.

• Working knowledge of Kubernetes, Terraform, and similar modern infrastructure practices.

• Solid understanding of high availability, resilience, and failover design.

• Strong analytical and troubleshooting skills with a proactive, reliability-first mindset.

• Effective communicator who collaborates well in a fast-paced, global environment.

Axi's bag of delights

• Competitive and attractive compensation.

• Extensive learning opportunities, including professional certifications and continuous development.

• 18 annual leave days and 12 sick leave days per year.

• Public holidays as declared by the local government.

• Maternity leave as per applicable laws.

• Comprehensive health insurance coverage.

• Opportunity to work with global teams and modern, large-scale trading platforms.

Axi's interview journey

• Talent Acquisition Interview – 30 minutes

• Hiring Manager Technical Interview – 1 hour

Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment of any fees related to the recruitment of the candidate represented in the unsolicited resume.

At Axi, we prioritize creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.

Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India.

Who We Are.

Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.

Let's talk about the cool stuff you will do at Axi!

At Axi, we’re looking for a passionate and forward-thinking Senior Software Architect to lead the design and development of high-quality, scalable software solutions across our global platforms. You will play a key role in setting the architectural vision, guiding best practices, and enabling cross-team collaboration to ensure our systems are robust, secure, and aligned with business goals.

In this role, you’ll collaborate with technical leads and subject matter experts, shaping architectural blueprints and roadmaps, while also mentoring developers and promoting excellence in engineering practices. This is a hands-on position ideal for someone who thrives at the intersection of design and code—bringing architectural vision to life with clean, efficient, and maintainable solutions.

Your EDGE Assignment/You Will

• Define and document target architecture blueprints and patterns for .NET Core microservices, React/React Native frontends, and Azure cloud infrastructure.
• Guide the design of high-availability, low-latency systems including API gateways, messaging architecture, caching strategies, and circuit breaker patterns for trading platforms.
• Establish observability standards: structured logging, distributed tracing, metrics, SLOs, and alerting practices across the organization.
• Lead architecture reviews, threat modeling, and Proofs of Concept for significant initiatives, evaluating technology choices and design trade-offs.
• Advise on Kubernetes (AKS) strategies, containerization, container registries, and deployment patterns (GitOps, blue-green, canary).
• Define infrastructure-as-code standards, CI/CD pipeline architecture, and DevOps tooling to enable safe, fast deployments.
• Guide data architecture decisions across SQL Server, Cosmos DB, Databricks, and data lake storage for transactional and analytical workloads.
• Partner with Security and Compliance teams on architectural security, regulatory requirements, and audit-friendly designs.
• Mentor senior engineers, architects in training, and technical leads to grow architectural maturity across the organization.

Technical Requirement

• Deep knowledge of .NET Core microservices, Domain-Driven Design (DDD), Clean Architecture, CQRS, and event-driven design patterns.
• Expert-level Azure experience: App Services, AKS (Kubernetes), Service Bus, Event Grid, API Management, Cosmos DB, SQL Database, Key Vault, Storage, monitoring (Application Insights).
• Strong Kubernetes/AKS expertise: cluster design, networking, security (RBAC, network policies), resource management, autoscaling, and GitOps principles (FluxCD, ArgoCD).
• Solid understanding of DevOps: CI/CD pipelines (Azure Pipelines, GitHub Actions), infrastructure-as-code (Terraform, ARM templates), containerization (Docker), and deployment patterns.
• Experience designing resilient systems: circuit breakers, retries, bulkheads, timeouts, fallbacks, and chaos engineering practices.
• Strong grasp of observability: structured logging, distributed tracing (Application Insights, OpenTelemetry), metrics (Prometheus), and alerting (e.g., Azure Monitor, Datadog).
• Knowledge of security architecture: API security (OAuth2, JWT, mTLS), secrets management, encryption, and defense-in-depth strategies.
• Experience with data architecture patterns and considerations (OLTP/OLAP, relational/NoSQL, eventual consistency).

Are you the one?

• 7–14+ years of software engineering with significant architectural leadership and hands-on technical depth.
• Proven track record architecting and operating large-scale, distributed systems in production (ideally fintech, trading, or other mission-critical domains).
• Strong ability to communicate complex architecture and design decisions to both technical teams and executive stakeholders.
• Demonstrated influence over organizational practices, standards, and technology choices across multiple teams and geographies.
• Comfort with ambiguity and ability to evaluate trade-offs between innovation, performance, cost, and regulatory requirements.

Axi's bag of delights

• Competitive and attractive compensation.
• Extensive learning opportunities, such as professional training and certifications and soft skills development.
• 18 annual leave days per year.
• 12 sick days leave per year.
• Public holidays as declared by local government.
• Maternity leave as per law.
• Health Insurance.

Axi's interview journey

• Talent Acquisition Interview + AI Interview (60 minutes)
• Hiring Manager Exploratory Discussion (45 mins)
• Architecture Round I (60 - 75 minutes)
• Architecture Round II (60 - 75 minutes)
• Cross Functional and Culture Fit (60 minutes)

Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment of any fees related to the recruitment of the candidate represented in the unsolicited resume.

At Axi, we prioritize creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.

Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India. 

Who We Are.

Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.

Let's talk about the cool stuff you will do at Axi!

The Cloud Engineer supports the build and operation of cloud and enterprise infrastructure. The role is hands-on, focused on day-to-day cloud operations, identity administration, automation, and platform support.

Your EDGE Assignment/You Will

• Build and operate cloud infrastructure in Azure (primary), aligned to Well-Architected Frameworks
• Automate the provisioning, scaling, and management of infrastructure to ensure reliability and efficiency using CI/CD
  Support and administer enterprise identity and access systems
• Demonstrate a solid understanding of networking concepts, including VNets, DNS, VPNs, SSL, and firewalls
  Support and manage SaaS platforms
• Assist with cloud cost reporting and optimisation
• Collaborate effectively with cross-functional teams
• Identify root causes, fix and document problems, and implement preventive measures

Are you the one?

• Experience with Azure cloud infrastructure
• Working knowledge of Active Directory and Entra
• Familiarity with Terraform or Infrastructure as Code
• Understanding of networking and security fundamentals
• Windows/Linux administration experience
• Identify root causes, fix and document problems, and implement preventive measures
• Strong communication and documentation skills
• Automation first mindset

Axi's bag of delights

• Competitive and attractive compensation.
• Extensive learning opportunities, such as professional training and certifications and soft skills development.
• 18 annual leave days per year.
• 12 sick days leave per year.
• Public holidays as declared by local government.
• Maternity leave as per law.
• Health Insurance. 

Axi's interview journey

• Talent Acquisition Interview and AI Interview(60 minutes)
• Technical Interview (60–90 min)
• Hiring Manager Interview (60 min)
• Cultural Interview (30 minutes)

Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment of any fees related to the recruitment of the candidate represented in the unsolicited resume.

At Axi, we prioritize creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.

About Okta

At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.

The Opportunity

Okta is seeking a Principal Data Engineer to be the technical visionary for our internal data platform that supports our internal AI use cases with AI ready data. Reporting to the Sr Manager of Enterprise Data Platform, this role is responsible for turning the data product vision into a secure, scalable, and elegant technical reality. You will own the "how"—the technical strategy, implementation, and scalability that brings our AI and data product roadmap to life.

This role requires a technical leader who can balance today’s execution with building a durable foundation for the future. You will own the technical standards for engineering excellence, security, and governance, ensuring our core data platform is trusted and ready to power the next generation of AI-powered products and decision-making at Okta.

What You’ll Do

• Own the technical strategy and implementation for the company's AI data platform, translating product requirements into a concrete technical vision centered on Snowflake, AWS, dbt.
• Design and implement a robust security and governance framework as a core pillar of the platform, ensuring our high-compliance, high-security standards are met.
• Build automated solutions for data classification, access control, and vulnerability management (Nessus/Qualys), ensuring data is secure and trusted for AI consumption.
• Implement and manage the strategy for infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to ensure secure, reproducible, and auditable deployments.
• Set the bar for engineering excellence, driving best practices in code quality, system design, and operational readiness.
• Serve as an engineering partner to the Principal Product Manager, providing technical feasibility, scoping, and architectural guidance.
• Communicate technical vision, strategy, and trade-offs clearly to senior leadership and cross-functional teams.
• Collaborate with the AI, security, and analytics teams to ensure the data platform meets the complex needs of the entire business.

What You Bring

• Experience: 10+ years of data engineering experience, with at least 5 years focused on architecting data platforms for data products, analytics, and/or AI-driven products. Experience with high-compliance/high-security regulated environments is a plus.
• Technical Authority: Deep and recognized mastery of data platforms and architecture, including cloud applications like Snowflake, Databricks, and AWS. Expert-level understanding of data pipeline and orchestration tools like dbt, Airflow, Fivetran, and Terraform.
• Security & Governance DNA: Deep expertise in designing and implementing technical frameworks for data governance, access control, and security within a modern data stack.
• Cross-Functional Partnership: A proven track record of partnering successfully with product management and business leaders to translate vision into high-impact technical solutions.
• Balance of Today vs. Tomorrow: Ability to deliver immediate, high-quality engineering solutions while building a scalable and maintainable foundation for future innovation.

What Success Looks Like

• A secure, scalable, and elegantly designed AI data platform that serves as the trusted data foundation for the company.
• Robust, automated data governance and security frameworks embedded into the platform's core architecture.
• A well-architected and cost-optimized tech stack that accelerates development and reduces operational friction.
• Elevated technical capabilities and engineering excellence across the team, driven by your mentorship and leadership.

#LI_Hybrid 

P24713_3369501

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

Job Duties and Responsibilities

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

Required Skills:

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

Education and Certifications

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

#P25153_3431422
#Linkedin_Hybrid

Okta’s Workforce Identity Cloud Security Engineering group is looking for an experienced and passionate Staff Site Reliability Engineer to join a team focused on designing and developing Security solutions to harden our cloud infrastructure. We embrace innovation and pave the way to transform bright ideas into excellent security solutions that help run large-scale, critical infrastructure. We encourage you to prescribe defense-in-depth measures, industry security standards and enforce the principle of least privilege to help take our Security posture to the next level. Our Infrastructure Security team has a niche skill-set that balances Security domain expertise with the ability to design, implement, rollout infrastructure across multiple cloud environments without adding friction to product functionality or performance. We are responsible for the ever-growing need to improve our customer safety and privacy by providing security services that are coupled with the core Okta product.

This is a high-impact role in a security-centric, fast-paced organization that is poised for massive growth and success. You will act as a liaison between the Security org and the Engineering org to build technical leverage and influence the security roadmap. You will focus on engineering security aspects of the systems used across our services. Join us and be part of a company that is about to change the cloud computing landscape forever.

As a Staff Engineer, you should be able to identify gaps, propose innovative solutions, and contribute to roadmaps while driving alignment across multiple teams within the organization. Additionally, you should serve as a role model, providing technical mentorship to junior team members and fostering a culture of learning and growth

What are we looking for?
We are looking for a security-first SRE engineer who doesn't just "flag" issues but builds the automation to solve them. You should have a deep-seated intuition for cloud-native security and a proven track record of hardening large-scale GCP and AWS environments. As a Technical SME, you will design and build production infrastructure with a "security-at-scale" mindset.

What You Will Work On?
Security Evangelism: Lead initiatives to strengthen our security posture for critical infrastructure and promote best practices across the engineering organization.
Incident Response & Reliability: Respond to production security incidents, perform root cause analysis, and build automated preventions to ensure high performance and reliability.
Automated Hardening: Identify manual security processes and automate them using custom tooling and CI/CD integrations.
Architecture & Documentation: Develop technical documentation, runbooks, and procedures for a 24x7 online environment.
Platform Evolution: Continuously evolve our monitoring platforms, moving from simple auditing to active, automated prevention.

Minimum Required Knowledge, Skills, & Abilities:
Experience: 8+ years of experience architecting and running complex cloud networking and infrastructure, with at least 7+ years specialized in DevSecOps or Cloud Security.
GCP Expertise: Minimum 3+ years of deep, hands-on experience securing GCP (GKE, GCE, Shared VPC etc).
Infrastructure as Code (IaC): 10+ years of experience using Terraform and Chef to manage complex cloud resources and OS hardening.
Automation Mastery: Expert-level proficiency in Go, Python, or Ruby for building custom security tooling and automated remediation.
Hardened Containers: Proven track record of securing containerized workloads, including image scanning, K8s RBAC, and runtime security tools (e.g., CrowdStrike Falcon, Falco, or gVisor).
Unflappable Troubleshooting: A "see a problem, fix the problem" mindset with the ability to debug complex networking, IAM, or performance issues under pressure.
Security Foundations: Strong grasp of Linux internals, OS hardening (CIS benchmarks), and IP protocols (TLS/SSL, DNSSEC, BGP).
Education: BS in Computer Science or equivalent professional experience.

Key Responsibilities:
IAM & Secrets Management: Design and maintain large-scale production IAM policies and secrets management workflows .
Infrastructure Hardening: Implement and maintain Public Key Infrastructure (PKI) and ensure all GCE/GKE environments meet strict compliance standards.
Operational Excellence: Utilize industry-standard tools like OSQuery, Splunk, Chronicle, Nessus, or Qualys/ Crowdstrike to monitor system health and security telemetry.
Strategic Rollouts: Lead the phased transition of security policies from Audit/Detection mode to Blocking/Prevention mode, ensuring zero impact on production uptime.

Bonus Points For:
Multi-Cloud IAM Governance: Experience designing a unified IAM framework across AWS and GCP, utilizing federated Identities such as Workload, Workforce Identity Federation with understanding of SAML & OIDC auth mechanism and automated "Least Privilege" enforcement.
Cloud-Native Reliability Engineering: Deep understanding of multi-cloud reliability patterns, maintaining high availability (HA) during security patching or infrastructure-wide hardening.
Hardened Kubernetes Orchestration: Advanced experience securing GKE, EKS, and kOps, specifically implementing Pod Security Standards, Network Policies, and Admission Controllers for a "Zero-Trust" posture.
Threat Modeling:Security Reviews & Threat Modeling at both Design & Implementation scope.

Workforce Identity Cloud

Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities—like reducing costs, and doing more for your customers.

If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools.

Position Overview

We are seeking a highly technical Staff Site Reliability Engineer with deep expertise in Splunk and Grafana to own and evolve our observability ecosystem. In this role, you will move beyond simple monitoring to architect a comprehensive, scalable telemetry platform. You will be our subject-matter expert in Splunk optimisation, ensuring our logging architecture is performant, cost-effective, and deeply integrated with our automated workflows.

You will treat infrastructure as code—utilising Terraform and strong coding proficiency in Go, Python, or Ruby—to automate the deployment of agents and collectors across complex distributed systems.

Key Responsibilities

• Splunk Architecture & Optimisation: Lead the design and tuning of Splunk environments. Optimise indexer performance, search efficiency, and data models to ensure rapid troubleshooting and cost-efficiency.
• Advanced Visualisation: Architect and maintain sophisticated Grafana dashboards that correlate disparate data sources into a single pane of glass for real-time system health.
• Automated Infrastructure: Design, build, and maintain scalable observability infrastructure using tools like Terraform.
• Pipeline Engineering: Optimise the collection, processing, and storage of telemetry data (Metrics, Logs, Traces) to ensure high reliability and low latency.
• Workflow Automation: Develop custom Splunk workflows and integrations that trigger automated responses to system events, reducing Mean Time to Resolution (MTTR).
• Incident Response: Participate in on-call rotations and lead post-incident reviews to drive systemic improvements through "observability-driven development."

Required Skills & Experience (The Essentials)

• Splunk Mastery: Deep, hands-on experience with Splunk administration, search optimisation (SPL), and architecting complex data pipelines. You know how to make Splunk "hum" at scale.
• Grafana Expertise: Proven ability to build actionable, intuitive dashboards in Grafana that go beyond simple charts to provide deep operational insights.
• SRE Mindset: Minimum 8+ years of experience in an SRE, DevOps, or Systems Engineering role with a focus on high-availability systems.
• Programming Proficiency: Strong coding skills in Go, Python, or Ruby for building internal tools and automating observability workflows.
• Telemetry Standards: Hands-on experience with OpenTelemetry (OTel), Prometheus, or similar frameworks for instrumenting applications.
• Distributed Systems: Deep understanding of Linux internals, networking (TCP/IP, DNS, Load Balancing), and container orchestration (Kubernetes/EKS).

Bonus Skills (The "Nice-to-Haves")

• Tracing: Implementation of distributed tracing (Jaeger, Tempo, or Honeycomb) to visualise request flow across microservices.
• Security Observability: Experience using Splunk for security orchestration (SOAR) or SIEM-related workflows.
• Cloud Platforms: Experience managing observability native tools within AWS, Azure, or GCP.

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P22381_3143209

Staff Software Engineer, Core Infrastructure

Okta is the identity standard. The Okta Identity Cloud is an independent and neutral platform that securely connects the right people to the right technologies at the right time. We help organizations do two things - secure and manage their extended enterprise, and transform their customers’ experiences. With over 15,800 customers globally, 7000+ app integrations, and well over 200 million registered users, we are only getting started.

Okta's Core Engineering team is responsible for building and evolving shared infrastructure and services that lay the foundation for what other engineering teams build on. We're in charge of common shared services like search, cache, configuration management, frameworks for async job management, and  email pipeline, to name a few. We're cloud native, where redundancy, multi-tenancy, scale, resource optimization and resiliency are first class citizens. With Okta's mantra of 'Always On!' there's never a dull moment. Our biggest asset is our team of passionate engineers and technically minded managers. 

You'll be joining a team of highly skilled and talented team players who're proud of what they own and deliver. Our elite team is fast, creative and flexible; with a weekly release cycle and individual ownership we expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company that is about to change the cloud computing landscape forever.

Job, duties and responsibilities:

• Work with engineering teams to design, develop and deliver cloud based infrastructure projects on a modern tech stack (Redis, Elasticsearch, Docker, Terraform on AWS)
• Drive evaluation, development and roll out of new common microservices
• Operate, support, and upgrade shared services and frameworks. Scale these as their usage invariably grows along with Okta's business.
• Help with design and code reviews. Ensure high programming standard by writing unit and functional tests.
• Assist with monitoring, troubleshooting of services and frameworks the team owns
• Collaborate with architects, QA, product owners, security and operations engineers
• Help with mentoring new engineering hires and interns

Minimum required knowledge, skills and abilities:

• Immense passion about doing the right thing to help Okta's technology stay ahead of its anticipated business growth
• Solid technology chops in architecting, implementing, tuning and debugging some of the largest cloud deployments in the enterprise world
• Bachelor's degree in computer science or equivalent
• 7+ yrs of expansive programming experience in an object-oriented programming language like Java, especially in backend services. A good understanding of multithreading, garbage collection, memory management.
• 7+ yrs experience of working with MySQL or equivalent relational database systems. Knowledge of NoSQL databases is a plus.
• Demonstrated experience of working with ReST and good understanding of its fundamentals
• Knowledge of Spring, Spring Boot, Hibernate and Tomcat
• Knowledge of AWS, Redis, Elasticsearch, and Docker
• Familiarity with network security, authentication and authorization as a nice-to-have
• Demonstrably followed best software engineering principles
• Experience with enterprise SaaS as a good-to-have
• Familiarity with Agile software development process

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P22422_3208018

Job Description

Okta’s Auth0 is an easy to implement, adaptable authentication and authorization platform. We make everyone’s login experience awesome. If you are a problem solver who wants to make this login experience even better, then look no further - Okta Auth0 B2C Authentication domain is where you want to be. Our domain’s mission is to provide a simple, secure, standards-compliant and delightful authentication experience for both end users and developers. We work with NodeJS, React, golang, Swift, Java / Kotlin, Postgres/MongoDB databases and our services run on both AWS and Azure. Our tech stack continues to evolve and expand to new technologies and trends. We are proponents of using the right tools for the job.

We are looking for an engineer who leverages AI coding assistants (e.g., GitHub Copilot, Google Gemini, Claude) to accelerate the software development lifecycle without compromising security. You should be proficient in using LLMs for rapid prototyping, boilerplate generation, and complex refactoring, effectively cutting down development time. Crucially, you must possess the judgment to audit, debug, and secure AI-generated code, ensuring it meets our strict authentication standards. You will use AI not just to write code, but to generate comprehensive unit tests, document systems, and simulate edge-case scenarios in our auth flows.

As a member of the Native Apps team you will:

• Be a part of fast paced, agile team comprising of engineers, a product manager and designer.

• Design and develop features, APIs and fixes to handle our current and future scale.

• You don’t wait for a perfect set of instructions; you proactively figure out what is needed to make a project successful.

• Help our customers have an awesome experience with our products.

• Collaborate with the support team for customer questions.

• Participate on our on-call rotations for troubleshooting production issues.

• Mentor other engineers.

• Lead team discussions and sprint planning.

• Improve the team’s productivity.

You are a good fit for this role if you:

• Have 5+ years of software development experience.

• Have excellent communication and collaboration skills.

• Have experience building public or internal mobile APIs/SDKs and working with Swift and Objective-C.

• Have experience with UIKit, SwiftUI, programmatic Auto Layout, and iOS design patterns (MVVM, reactive programming).

• Have experience with unit/UI/integration/performance testing on iOS (Quick, Nimble, XCTest, XCUITest, etc.).

• Have experience with Realm database or similar mobile NoSQL solutions.

• Have experience with mobile CI/CD pipelines (GitHub Actions).

• Are autonomous and have a continuous improvement mindset.

• Pay attention to details and keep user experience a top priority. 

• Enjoy being part of a highly collaborative, remote friendly environment.

Bonus points if you:

• Have 1+ years of experience in identity and access management (IAM) domain, particularly with Auth0 Guardian SDK or similar MFA/authentication solutions.

• Have experience with infrastructure-as-code tools (e.g., Fastlane, Xcode Cloud, or Terraform).

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P24574_3363700

About the Team

Okta's Core Engineering team is responsible for building and evolving shared infrastructure and services that lay the foundation for what other engineering teams build on. We're in charge of common shared services like distributed cache, configuration management, frameworks for async job management, internal tooling for developer support, and email pipeline, to name a few. We're cloud native, where redundancy, multi-tenancy, scale, resource optimization and resiliency are first class citizens. With Okta's mantra of 'Always On!' there's never a dull moment. Our biggest asset is our team of passionate engineers and technically minded managers. 

Role:

This is an opportunity for an experienced Backend engineer to join our growing Core Platform team based out of Bengaluru. In this role, you will get to work with highly skilled and talented engineers throughout the organization to build and manage some of the critical platform services powering Okta’s products and infrastructure. This role requires a blend of high-level architectural thinking and hands-on execution to build resilient, high-performance backend services. We are not only passionate about building services but operating them at scale, making them resilient to provide a seamless service to our customers.

You'll be leading a team of highly skilled and talented team players who're proud of what they own and deliver. Our elite team is fast, creative and flexible; with a weekly release cycle and individual ownership we expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have 

Responsibilities:

• Work with engineering teams to design, develop and deliver cloud based infrastructure projects on a modern tech stack (Redis, Elasticsearch, Docker, Terraform on AWS)
• Drive evaluation, development and roll out of new common microservices
• Operate, support, and upgrade shared services and frameworks. Scale these as their usage invariably grows along with Okta's business.
• Help with design and code reviews. Ensure high programming standard by writing unit and functional tests.
• Be part of a structured on-call roster, assist with monitoring, troubleshooting of services and frameworks the team owns
• Collaborate with architects, QA, product owners, security and operations engineers
• Help with mentoring new engineering hires and interns

Minimum required knowledge, skills and abilities:

• Immense passion about doing the right thing to help Okta's technology stay ahead of its anticipated business growth
• Solid technology chops in architecting, implementing, tuning and debugging services in a Cloud native environment preferably in the enterprise world
• Bachelor's degree in computer science or equivalent
• 12+ yrs of expansive programming experience in an object-oriented programming language like Java, especially in backend services. A good understanding of multithreading, garbage collection, memory management.
• 7+ yrs experience of working with MySQL or equivalent relational database systems. 
• Demonstrated experience of working with ReST and good understanding of its fundamentals
• Knowledge of Spring, Spring Boot, Hibernate and Tomcat
• Knowledge of AWS, Redis, Elasticsearch, and Docker
• Demonstrably followed best software engineering principles
• Familiarity with Agile software development process

Nice to have:

• Maintained security, encryption, identity management, or authentication infrastructure
• Leveraged major public cloud providers to build mission-critical, distributed systems for high availability and scale
• Experience developing Kubernetes based services on AWS Stack

#LI-Hybrid

P22377_3405787

Auth0 is an easy-to-implement, authentication and authorization platform designed by developers for developers. We make applications’ login boxes safe, secure, and seamless for anyone logging in.

The Auth0 Data Engineering Team

Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups:

• Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data
• Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making
• Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data

The Senior Data Engineer Opportunity

Reporting to the manager of the Data Engineering Pipeline team, the senior data engineer will be a key player in ensuring the reliability and efficiency of our core data platform. This role is crucial, providing the stable data foundation that not only 'runs the business' day-to-day but also directly empowers the organization to unlock growth and build innovative new products. We are looking for an autonomous and proactive engineer who can take ownership of our data ingestion pipelines, work closely with platform teams and data producers, and onboard new data from various internal and external systems. You will be part of a team creating robust, scalable data solutions using a modern, best-in-class toolset.

What you’ll be doing 

• Own and operate our critical data pipelines and infrastructure, participating in the team's support rotation to ensure high availability and business continuity.
• Lead troubleshooting efforts to fix complex pipeline or infrastructure issues, demonstrating a willingness to go beyond the direct scope of the team to find resolutions.
• Manage the data onboarding lifecycle, working with stakeholders to integrate new internal and external data sources into our platform using our suite of tools.
• Develop and deploy robust, scalable data solutions using modern tools and technologies like Snowflake, dbt, Airflow, and Terraform.
• Continuously learn and advocate for modern technologies and best practices to improve data delivery and engineering efficiency.

What you’ll bring to the role

• 5+ years of software development experience, with at least 3+ years working on large-scale data systems.
• Strong proficiency in SQL for data manipulation and Python for data pipeline development.
• Hands-on experience building and operating data pipelines in a cloud environment (AWS preferred).
• Hands-on experience with the modern data stack, specifically:
• Data Warehousing: Snowflake
• Data Transformation: dbt
• Infrastructure as Code: Terraform
• Experience with data ingestion, streaming, and event-driven architecture (e.g., Kafka, CDC, Snowpipe).
• Knowledge of data security and data privacy best practices
• A strong understanding of data modeling principles 
• data security best practices.
• A highly autonomous and proactive mindset. You are a quick learner who can self-motivate, prioritize needs, and deliver results in a dynamic environment.

And extra credit if you have experience in any of the following! 

• Experience with Snowpark.
• Experience with containerization and orchestration (Kubernetes is a nice to have).
• Familiarity with the Identity Access & Management (IAM) domain.
• Experience building developer-friendly, API-driven applications using REST and/or gRPC.

P24586_3348463

#LI_Hybrid

Auth0 is an easy-to-implement, authentication and authorization platform designed by developers for developers. We make applications’ login boxes safe, secure, and seamless for anyone logging in.

The Auth0 Data Engineering Team

Within Auth0, the Data Engineering team builds solutions to support analytics needs for the whole organization and is in charge of the Data Platform. It is divided into 3 groups:

• Pipeline team, sitting closer to the Platform team and data producers and in charge of the efficient data ingestion and provision of quick access to unmodeled data
• Warehouse team sitting closer to the business teams and data consumers and in charge of modeling the data in the data warehouse to abstract away the complexity for data consumers, simplifying the organization’s analysis, reporting and decision-making
• Interface team responsible for creating and managing connections between the data platform and various external systems (internal or external facing), making sure everyone has access to consistent and reliable data

The Senior Data Engineer Opportunity

Reporting to the manager of the Data Engineering Pipeline team, the senior data engineer will be a key player in ensuring the reliability and efficiency of our core data platform. This role is crucial, providing the stable data foundation that not only 'runs the business' day-to-day but also directly empowers the organization to unlock growth and build innovative new products. We are looking for an autonomous and proactive engineer who can take ownership of our data ingestion pipelines, work closely with platform teams and data producers, and onboard new data from various internal and external systems. You will be part of a team creating robust, scalable data solutions using a modern, best-in-class toolset.

What you’ll be doing 

• Own and operate our critical data pipelines and infrastructure, participating in the team's support rotation to ensure high availability and business continuity.
• Lead troubleshooting efforts to fix complex pipeline or infrastructure issues, demonstrating a willingness to go beyond the direct scope of the team to find resolutions.
• Manage the data onboarding lifecycle, working with stakeholders to integrate new internal and external data sources into our platform using our suite of tools.
• Develop and deploy robust, scalable data solutions using modern tools and technologies like Snowflake, dbt, Airflow, and Terraform.
• Continuously learn and advocate for modern technologies and best practices to improve data delivery and engineering efficiency.

What you’ll bring to the role

• 5+ years of software development experience, with at least 3+ years working on large-scale data systems.
• Strong proficiency in SQL for data manipulation and Python for data pipeline development.
• Hands-on experience building and operating data pipelines in a cloud environment (AWS preferred).
• Hands-on experience with the modern data stack, specifically:
• Data Warehousing: Snowflake
• Data Transformation: dbt
• Infrastructure as Code: Terraform
• Experience with data ingestion, streaming, and event-driven architecture (e.g., Kafka, CDC, Snowpipe).
• Knowledge of data security and data privacy best practices
• A strong understanding of data modeling principles 
• data security best practices.
• A highly autonomous and proactive mindset. You are a quick learner who can self-motivate, prioritize needs, and deliver results in a dynamic environment.

And extra credit if you have experience in any of the following! 

• Experience with Snowpark.
• Experience with containerization and orchestration (Kubernetes is a nice to have).
• Familiarity with the Identity Access & Management (IAM) domain.
• Experience building developer-friendly, API-driven applications using REST and/or gRPC.

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P24587_3348467

What You’ll Own:

•  Unified Build Architectures: Design and implement modular, reusable build stages that
  define how all code at Okta is tested, secured, and packaged.
• Systems Innovation: Solve deep scaling bottlenecks (e.g., Monorepo segmentation,
  dependency resolution) to accelerate thousands of developers.
• Infrastructure as Code: Own the delivery of highly available build agents and artifact
  registries using Golang, Terraform, and AWS.
• Engineering Excellence: Champion "Build-it-once" philosophies, creating self-healing
  systems that reduce operational toil and eliminate reactive support.

What We Are Looking For:

• Experience: 6+ years in Platform or Infrastructure Engineering, specifically building
  large-scale CI/Build Platform.
• Expertise: Advanced proficiency in Golang for tooling and Terraform for infrastructure
  orchestration.
• Containerization: Mastery of Kubernetes (K8s) and container primitives for build
  execution.
• Scale Mindset: A proven track record of investigating distributed system failures and
  delivering performant solutions at scale.
• Ownership: You don’t just write code; you own the reliability, cost-efficiency, and
  security guardrails of the entire ecosystem.

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(P24565_3411433)

Job purpose:

As a Senior Product Acceleration Specialist, you will play a critical role in driving Okta's success through the deployment and implementation of new products. You will serve as a trusted advisor to our Product and Go-To-Market (GTM) Field teams and customers, empowering them to unlock the full potential of our solutions.

We are looking for an experienced, enthusiastic, and hands-on technical leader who has deep experience in the Okta platform and the broader Identity industry. You will be instrumental in driving the design, development, and optimization of our products to deliver unparalleled customer experiences. You will work closely with cross-functional teams, including Product Management, Customer Success, and GTM, to identify areas for improvement and propose innovative solutions that exceed customer expectations. You will have a unique focus on supporting the design, building, and operation of a lab environment to demonstrate integration patterns and strategic use cases, and to create powerful demonstrations that drive our roadmap.

Duties and responsibilities:

• Collaborate closely with Okta stakeholders, including internal teams, customers, and external partners, to gather requirements, analyze needs, and document solutions.
• Provide clear and concise technical communication to stakeholders at various levels, including functional and technical requirements.
• Serve as a deep technical expert on Identity and Access Management, providing actionable recommendations to Product Management teams on integration concepts, feature gaps, and market opportunities.
• Design, build, and maintain the cutting-edge lab environment that powers all testing, solution validation, and high-impact product demonstrations.
• Deliver hands-on training and mentoring to customers and Okta Field teams on product features and functionality.
• Act as a bridge between customer needs and Product Management to inform product development and roadmap priorities.
• Lead cross-functional collaboration with internal teams such as Product Management, Engineering, Presales, Sales, Professional Services (PS), Enablement, and others to address complex issues and drive solutions.
• Engage with senior management and other stakeholders within Okta to drive strategic initiatives and partnerships.
• Conduct hands-on technical implementation, troubleshooting, and testing of products to ensure high-quality delivery.
• Manage multiple concurrent release programs simultaneously, prioritizing tasks and resources effectively.
• Support a global, distributed team across multiple time zones by providing flexible working arrangements and regular communication.
• Mentor and guide less experienced team members, sharing expertise and best practices to drive knowledge sharing and growth within the team.
• Advocate for product adoption and usage through thought leadership content creation (e.g. blogs, videos, articles) and community engagement (e.g. forums).

Qualifications:
Highly motivated, experienced, and self-driven professional with a strong background in cyber security and identity and access management, looking for a technical role with a focus on delivering new product innovations to external customers.

Technical Skills

• Strong background in identity and access management with expertise in various Okta product offerings
• Proven experience in cyber security, including Privileged Access Management (PAM), Identity Governance and Administration (IGA), Identity Threat Detection and Response (ITDR), and Security Posture Management (SPM)
• Experience with cyber security frameworks and standards (e.g., NIST, PCI-DSS)
• Knowledge of enterprise web technologies, cloud architectures, and complex IT landscapes
• Expert-level experience with Microsoft Active Directory, including Certificate Services (AD CS) and Federated Services (ADFS).
• Strong understanding of identity federation and user management protocols; SAML 2.0, WS-Federation, OAuth, OpenID Connect, SCIM
• Expertise in implementing robust access control models using RBAC, ABAC, IBAC, GBAC, and SOD
• Proficiency in governance frameworks such as HIPAA, PCI-DSS, or GDPR
• Experience installing, configuring, and managing server and desktop operating systems (Windows, Linux, macOS).
• Proven ability to automate infrastructure using scripting (e.g., PowerShell, Python) or IaC tools (e.g., Terraform).
• Experience with modern Endpoint Management systems (e.g., Microsoft Intune, Jamf, VMware Workspace One).
• Strong foundation in networking (on-prem and cloud) and experience managing virtualized environments

Communication Skills

• Proven ability to effectively communicate with diverse stakeholders, including internal teams and external customers at all levels of an organization.
• Skilled at presenting complex technical information in a clear and accessible manner that meets the needs of both technical and non-technical audiences.
• Adept at crafting engaging presentations that convey key insights and solutions, while also being mindful of tone and audience sensitivity.
• Possesses strong active listening skills, allowing for a deep understanding of customer business goals, objectives, and priorities.
• Strong interpersonal skills with sales team experience
• Communicates effectively with customers to identify needs and evaluate alternative technical solutions with customers.
• Continually seeks opportunities to increase customer satisfaction and deepen client relationships.
• Manages client expectations effectively.

Professional Experience

• 8+ years of technical experience delivering identity solutions to external customers (e.g., Professional Services/Sales Engineering/Support)
• 2+ years of software Sales or Pre-sales experience: selling identity solutions to large enterprise customers, developing and executing sales strategies to drive revenue growth, building strong relationships with key decision-makers
• Relevant cybersecurity certifications, such as CompTIA Security+, CISSP, or CEH, are required for this role
• A Bachelor's degree (or equivalent) in Computer Science, Information Technology or related discipline is required. 
• Strong background in identity and access management, with expertise in various Okta product offerings
• Experience in Process Improvement, Decision-making, Managing Processes, Multi-tasking, Planning, Analyzing Information, and Developing Standards

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P18170

Job Role Summary: 

We are looking for an experienced and driven Software Engineer II to join our Audio Visual (AV) & Unified Communications (UC) team. In this role, you will act as the software engineering backbone for our AV/UC infrastructure, helping us scale our global communication tools through intelligent automation.

You will be responsible for designing, building, and maintaining automations for our core SaaS platforms, developing internal microservices, and implementing infrastructure-as-code to eliminate manual overhead. The ideal candidate is an independent problem-solver who enjoys working at the intersection of software development and enterprise communication systems.

Key Responsibilities

• SaaS Platform Automation: Design and deploy automated workflows for our primary AV/UC SaaS platforms (e.g., Zoom, Microsoft Teams, Webex, Slack) using their native APIs and webhooks to manage user lifecycles, provisioning, and reporting.
• Internal Services Development: Build, maintain, and scale internally built services, middlewares, and self-service tools that empower end-users and streamline AV/UC operations.
• Infrastructure Automation: Write and maintain scripts and infrastructure-as-code (IaC) to automate the deployment, configuration, and monitoring of AV hardware and UC software environments.
• System Integration: Connect disparate enterprise systems (e.g., HRIS, IT ticketing, and UC platforms) to ensure seamless data flow and process automation.
• Monitoring & Alerting: Develop automated health checks, proactive monitoring, and alerting mechanisms for critical AV/UC infrastructure to minimize downtime.
• Collaboration & Code Quality: Participate in code reviews, maintain clear technical documentation, and write unit/integration tests to ensure highly reliable code deployments.

Required Skills and Experience Level: 

• Experience: 2–4 years of professional experience in software development, backend engineering, or a Site Reliability Engineering (SRE) / DevOps role.
• Programming Languages: Strong proficiency in at least one modern programming language such as Python, Go, JavaScript/Node.js, or C#.
• API Expertise: Proven experience interacting with and designing RESTful APIs, Webhooks, and handling JSON/XML data payloads.
• Infrastructure & Cloud: Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Automation Tools: Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and configuration management tools (e.g., Ansible, Chef, or Puppet).
• Version Control & CI/CD: Solid understanding of Git workflows and building CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins).

Preferred Skills: 

• Direct experience working with APIs from major Unified Communications platforms (Zoom, MS Teams, Google Meet, Cisco, etc.).
• Familiarity with AV hardware ecosystems and their management interfaces.
• Experience building chatbots or chatops integrations (e.g., Slackbot, Teams bot).
• Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors, including inter-organizational impact
• Interact with senior internal and external personnel on event production systems matters, standards, and related projects 
• Proficiency with Google Suite tools.
• Security Compliance Certification ISC2 
• Familiarity with QSC, Dante, Crestron, Shure, and AV over IP 
• Collaborative thought leader with the ability to take a proactive approach to dynamic technical aspects of the role
• Okta Essentials Certification is a plus 
• Jamf Associate Certification is a plus 

#Hybrid_Bengaluru

#LI_Linkedin P24874_3391504

About the Team

This role joins the 'Technology Data Intelligence' organization and plays a critical part in realizing our vision to accelerate the delivery of business outcomes across Okta by driving clarity, collaboration, and accountability in everything we do. We enable the broader TDI organization in the mission to “Accelerate Okta’s Scale and Growth”.

Our team offers integration Engineering services that enable seamless connection and communication among various applications within Okta’s IT ecosystem. This ensures a unified, efficient environment where different systems work together to achieve our broader business goals.

As a Staff Software Engineer from the global Integration Engineering team which spans across the US and India, you’ll provide technical leadership, write hands-on code, and mentor peers while shaping Integration capabilities that empower Okta.

What you'll do : 

• Lead the design, development, and optimization of scalable cloud solutions using AWS, advanced databases, and infrastructure as code (Terraform).
• Develop and maintain applications using Kotlin, Java, Node.js, and React, ensuring robust testing and front-end scalability.
• Collaborate daily with US counterparts to align on architecture, share roadmaps, and ensure global consistency.
• Stay updated on AI advancements to enhance project outcomes and drive innovation through Proof of Concepts (POCs).
• Coach and support a geographically dispersed team, fostering skill development and technological mastery.
• Maintain clear and accurate technical documentation for internal and external stakeholders.

What we are looking for:

• Technical Expertise: 8+ years of hands-on development and design experience with AWS services (Lambda, EventBridge, SQS & SNS, API Gateway, DynamoDB, Secrets Manager, EC2, AppFlow, Step Functions, Kinesis) and database technologies (PostgreSQL, DynamoDB).
• Programming & Tools: Proficient in Kotlin, with experience in Java, Node.js, Python, and familiarity with TypeScript and React. Skilled in Terraform, JUnit, and Mockito. Experience with AI technologies is a plus.
• Leadership & Development: Influences design, implementation, and support of business POCs. Coaches and develops individuals, with experience in geographically dispersed teams.
• DevOps & Lifecycle Management: Manages full application lifecycle, including development, deployment, and scaling. Configures and manages GitLab Runners for automated workflows.
• Strong communication and collaboration skills to work effectively across time zones and global teams.

#Hybrid_Bengaluru

LI_Linkedin

# P8396_3395775

About Okta

At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.

The Opportunity

Okta is seeking a Senior Data Engineer to join our Enterprise Data Platform team. Reporting to the Sr. Manager of Enterprise Data Platform, you will be a key hands-on contributor responsible for building the data platform that supports our internal AI use cases with AI-ready data. You will help turn the data product vision into a secure, scalable, and elegant technical reality by developing and implementing core components of our data infrastructure.

This role requires a skilled engineer who is passionate about building high-quality data solutions. You will contribute to the team’s standards for engineering excellence and help ensure our core data platform is trusted and ready to power AI-powered decision-making at Okta.

What You’ll Do

• Build and maintain performant data pipelines and data models on the company's AI data platform, using Snowflake, AWS, and dbt.
• Implement components of our security and governance framework to ensure high-compliance and security standards are met.
• Develop automated solutions for data classification, access control, and contribute to our vulnerability management processes.
• Use infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to build, test, and deploy data infrastructure securely and reliably.
• Adhere to and champion best practices in code quality, system design, and operational readiness.
• Collaborate closely with product managers, senior engineers, and analytics teams to deliver high-quality data solutions that meet business needs.

What You Bring

• Experience: 5+ years of data engineering experience, with a focus on building data pipelines, data models, and working on data platforms. 
• Technical Proficiency: Strong, hands-on experience with cloud data platforms (Snowflake, Databricks, or similar) and AWS. Solid understanding of data pipeline and orchestration tools like dbt, Airflow, or Fivetran, and IaC with Terraform.
• Security & Governance Mindset: Experience implementing security controls, and a good understanding of data governance principles within a modern data stack.
• Collaborative Spirit: A proven track record of working effectively in a team environment with product managers, analysts, and other engineers to deliver features.
• Problem Solver: Ability to tackle well-defined technical problems and deliver high-quality, maintainable engineering solutions.

What Success Looks Like

• You are consistently delivering high-quality, reliable, and well-tested data pipelines and platform features.
• The infrastructure you build is automated, secure, and aligns with the team’s best practices.
• You are a trusted, collaborative, and productive member of the data engineering team.
• Your work directly contributes to a cost-optimized and efficient tech stack that accelerates development for your peers.

#LI_Hybrid 

P24719_3369503

Position Overview

We are looking for a Cloud Support Engineer - Database who is passionate about cloud infrastructure, database technologies, and delivering exceptional customer experiences, while providing high-touch, white-glove support to strategic accounts.

As a Cloud Support Engineer (IC2) at DigitalOcean, you will join a dynamic team dedicated to supporting and empowering customers to successfully run their workloads on our platform. You will work closely with customers to troubleshoot issues, optimize database performance, and guide them in adopting best practices across managed databases and cloud infrastructure.

In this role, you will build strong technical depth across database systems and DigitalOcean products while developing your ability to handle increasingly complex customer scenarios. You will collaborate cross-functionally with Product and Engineering to ensure seamless customer outcomes. This role reports to the Manager, Cloud Support Engineer.

What You'll Do

• Deliver hands-on technical support for database and cloud infrastructure issues across technologies such as MySQL, PostgreSQL, Valkey (Redis), MongoDB and Clickhouse, with exposure to cloud-native and Kubernetes environments.
• Diagnose and resolve production issues impacting database performance, availability, replication, backups, and connectivity
• Guide customers in designing scalable, reliable, and high-performing database architectures on DigitalOcean
• Collaborate with senior engineers (IC3/IC4) and stakeholders to support onboarding, migrations, customer success, and the resolution of complex escalations.
• Participate in incident response and on-call rotations to support critical customer issues
• Contribute to team growth through case reviews and knowledge sharing, while developing and maintaining technical documentation and playbooks to drive continuous improvement.
• Advocate for customer feedback to influence product improvements and platform enhancements
• Identify opportunities to leverage automation and AI tools to streamline support workflows, reduce manual effort, and improve response quality.
• Use monitoring and observability tools to diagnose performance bottlenecks and system behavior.

Key Metrics

• Customer Satisfaction (CSAT)
• Time to Resolution / SLA adherence
• Escalation quality and resolution effectiveness
• Documentation and knowledge base contributions
• Customer adoption of best practices

What You'll Add to DigitalOcean

• 2–5 years of experience in technical support, DevOps, cloud engineering, or similar roles
• Hands-on experience with some of the major database systems (e.g., PostgreSQL, MySQL, Redis, MongoDB, Clickhouse), with some familiarity across Kafka and others.
• Strong Foundational knowledge of Linux, networking, and cloud infrastructure concepts
• Understanding of database fundamentals including backups, replication, indexing, and performance tuning
• Strong troubleshooting skills across application, database, and infrastructure layers
• Customer-first mindset with a passion for solving technical problems and delivering great support experiences
• Effective communication skills with the ability to explain technical concepts clearly
• Ability to work both independently and collaboratively in a fast-paced environment

Preferred Qualification:

• Proven experience contributing to open-source projects, particularly in the database ecosystem (e.g., MySQL, PostgreSQL, Redis, MongoDB) or related technologies like Kafka, OpenSearch, or database migration tools.
• Exposure to cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with multi-cloud or hybrid cloud environments.
• Basic Experience to distributed systems or containerized environments (e.g., Kubernetes)
• Hands-on experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Contributions to open-source projects, technical blogs, or documentation related to databases or cloud-native technologies
• At least one of the Database Certifications, such as Oracle Certified Professional or Databases Administrator
• Exposure to one or more programming languages (PHP, Python, NodeJS) or a strong interest in developing coding skills.

This is a hybrid role based out of Bengaluru, India. 

#LI-Hybrid 

Senior Software Engineer:

Role summary Build, evolve, and operate backend services at scale for ZoomInfo. You’ll work primarily with Node.js/TypeScript (NestJS preferred), design robust REST/GraphQL APIs, optimize MongoDB/Redis, and deploy on cloud (GCP preferred or AWS) with a strong focus on reliability, performance, security, and cost efficiency.

What you’ll do:

• Design, implement, and own microservices and REST/GraphQL APIs in Node.js/TypeScript (NestJS preferred)
• Translate product requirements into technical designs; break down work, estimate, and deliver incrementally
• Model data and optimize queries in MongoDB; implement effective caching with Redis (TTL, eviction, hot-key mitigation)
• Ship production-ready code with unit/integration tests; participate in on-call, incident response, and postmortems
• Containerize and deploy via Docker/Kubernetes; automate builds and releases with CI/CD (blue/green or canary)
• Instrument services for logs, metrics, and traces (p95/p99); continuously improve latency, reliability, and cost
• Review code, document designs, and mentor SE II/III engineers; contribute to shared standards and best practices

What you bring:

• 7+ years of software engineering experience, including 3+ years building backend services in Node.js/TypeScript
• Strong API fundamentals: versioning, pagination, authN/Z (OAuth/OIDC), and secure coding (OWASP)
• Hands-on with NestJS/Express/Fastify; familiarity with microservices patterns and event-driven workflows
• MongoDB expertise (schema design, indexing, basic sharding concepts) and Redis caching patterns
• Cloud experience on GCP (preferred) or AWS; Docker; working knowledge of Kubernetes; CI/CD with GitHub Actions/Jenkins/GitLab
• Observability skills: Datadog/OpenTelemetry/Prometheus/Grafana; confident debugging in production
• Collaboration and communication skills; bias for clean, well-tested, and well-documented code

Nice to have:

• Kafka or Pub/Sub; API Gateway/Ingress; feature flags; rate limiting and quotas
• Terraform/Helm; security tooling (SonarQube), dependency hygiene, secret management
• Performance profiling, load testing, and practical cost optimization

#LI-PM1

#LI-Hybrid

As a Network Engineer II, you’ll play a key role in designing, implementing, and managing advanced network solutions, ensuring seamless connectivity and robust security across our hybrid network infrastructure. We’re looking for a rockstar—a doer who thrives on challenges and delivers results! You’ll work hands-on with cutting-edge technologies like Cisco Meraki, Palo Alto Firewalls, and Zscaler, while also supporting critical maintenance and on-call activities.

Responsibilities:

• Design, configure, and deploy LAN, WAN, and WLAN networks to meet business objectives.
• Implement and manage network security solutions with a focus on Cisco Meraki, Palo Alto Firewalls, and Zscaler.
• Maintain detailed documentation of network configurations, topologies, and processes.
• Proactively monitor network performance and ensure high availability using advanced tools.
• Identify, diagnose, and resolve complex network issues efficiently.
• Perform capacity planning to ensure the network scales with business growth.
• Manage SSL certificates and ensure secure network communications.
• Collaborate with the security team to mitigate network vulnerabilities.
• Maintain compliance with industry standards and best practices.
• Participate in network-related projects, including upgrades, expansions, and migrations.
• Support VoIP implementations and AWS/GCP network integrations when required.
• Evaluate and recommend new networking technologies and tools.
• Participate in on-call rotations and off-hours maintenance every 3 months to ensure network reliability and uptime.
• Perform scheduled maintenance activities during off-hours to minimize business impact.
•  Experience with Terraform to provision and manage network infrastructure (VPCs, subnets, routing, security groups), including building reusable modules and integrating with CI/CD pipelines.
• Experience managing infrastructure across Amazon Web Services, Microsoft Azure, or Google Cloud Platform, with strong understanding of state management, remote backends, and version control (Git).

Qualifications:

• CCNA or equivalent certifications- a must
• 2-5 years of hands-on experience in network engineering- a must
• Proficiency in Cisco Meraki, Palo Alto Firewalls, and Zscaler- a must
• Familiarity with SSL certificate management and implementation.
• Experience with VoIP technologies and troubleshooting.
• Exposure to Terraform, AWS and GCP networking.
• Basic understanding of domain management.

Preferred Skills:

• Strong knowledge of networking concepts such as VLANs, VPNs, and routing protocols.
• Proficient in using network monitoring tools like Datadog, Solarwinds, and Wireshark.
• Excellent problem-solving skills and ability to thrive in a fast-paced environment.
• Strong communication and collaboration skills.
• Experience automating network configurations alongside Terraform using tools like Ansible.

Knowledge of networking concepts in cloud environments (routing, NAT, VPNs, load balancing).

#LI-SG2

#LI-Hybrid

Senior DevOps Engineer

The Challenge

We are hiring a Senior DevOps Engineer to join the global Cloud team. You will support production customers by monitoring and maintaining a highly distributed, scalable and resilient global cloud infrastructure.

Your Mission

To work with distributed teams in order to provide support to customers through automation, deployment, incident response related tasks.

• You'll be working with the monitoring, tuning, maintenance, and support of Linux, Azure SQL, Kubernetes, Kafka, MongoDB, cloud infrastructure/services, etc.

• You will define, measure, and meet key operational metrics including performance, incidents, capacity, and availability

• You will run incident resolution within the environment, facilitating teamwork with other departments as required

• You'll build out lifecycle processes to mitigate risk and ensure platforms remain current, in accordance with industry standard methodologies

• You will automate the deployment of new software to cloud environment in coordination with DevOps engineers

You Are

Highly organized and meticulous with excellent process management skills, capable of leading multiple tasks with shifting priorities while functioning in a rapidly changing environment.

Your Experience Includes

• Bachelor’s Degree or Master’s Degree in Computer Science, Engineering or related field

• 4+ years of professional experience

• 2 or more years working with the Microsoft Azure platform (preferred) or another public cloud platform

• 1 or more years of experience in automation tools like Terraform, Linux scripting, Cloud Orchestration tools like Ansible or Chef, etc.

• Ability to write scripts in one major scripting language such as Bash, PowerShell &/or Python

• Ability to plan, schedule and monitor work activities in order to meet time and quality targets

• Understanding of Container and DevOps technologies

Extra Awesome

• Previous DevOps experience

• Experience working with in an agile B2B enterprise environment

• Experience working with distributed teams across geos

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Cloud Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6+ YEARS of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• Design GCP-native architectures using services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run
• Build and maintain data pipelines — batch and streaming — following medallion architecture patterns (Bronze / Silver / Gold)
• Implement infrastructure as code using Terraform and manage deployments via Cloud Build or equivalent CI/CD tooling
• Define and apply GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and Org policies
• Develop end-to-end Lakehouse solutions on Databricks — including Delta Lake table design, Unity Catalog governance, and MLflow model tracking
• Write and optimise PySpark and SQL workloads for large-scale transformations and feature engineering
• Configure Databricks clusters, job scheduling, auto-scaling, and cost controls in a GCP (DBX on GCP) environment
• Implement Databricks Workflows and Asset Bundles for orchestration and deployment automation
• Advise clients on Databricks platform adoption, including migration pathways from legacy Hadoop or on-premise data warehouses
• Lead technical workshops and requirements-gathering sessions with client technical and business teams
• Produce high-quality client-facing deliverables: architecture diagrams, technical specifications, migration runbooks, and data dictionaries
• Present solution designs and progress updates to client stakeholders — adapting technical communication to audience level (CTO to Business Analyst)
• Manage technical dependencies, risks, and issues across delivery workstreams — escalating to Delivery Managers as appropriate
• Participate in sprint ceremonies and maintain delivery velocity within Agile/Scrum or Kanban frameworks
• Implement data quality frameworks using tools such as Great Expectations, dbt tests, or Databricks Delta constraints
• Support data catalogue initiatives and metadata management using Dataplex or Unity Catalog
• Ensure GDPR/data residency compliance is embedded into solution design from the outset
• Support practice leads in responding to RFPs and RFIs — contributing to effort estimation, solution sizing, and proposal narrative
• Contribute to internal knowledge-sharing — through documentation, runbooks, and team enablement sessions
• Stay current with GCP and Databricks product roadmaps and proactively identify opportunities to introduce new capabilities to clients

Must have qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
• 6+ years of hands-on professional experience in cloud data engineering or GCP platform roles.
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification
• Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification
• BigQuery — advanced SQL, partitioning, clustering, cost optimization
• Cloud Storage, Cloud Functions, Cloud Run
• Dataflow (Apache Beam) — batch & streaming pipelines
• Cloud Composer / Airflow — DAG authoring and management
• Pub/Sub — event-driven architectures
• Vertex AI — model serving and Pipelines exposure
• IAM, VPC, Org Policies — security and governance
• Cloud Build / Artifact Registry — CI/CD and containerization
• Terraform — infrastructure as code on GCP
• Looker / Looker Studio — reporting layer familiarity
• PySpark — DataFrame API, optimization, broadcast joins
• Delta Lake — ACID transactions, time travel, Z-ordering
• Unity Catalog — governance, lineage, access control
• Databricks Workflows / Job orchestration
• Databricks on GCP — cluster config, instance pools
• MLflow — experiment tracking, model registry
• dbt on Databricks or BigQuery
• Databricks Asset Bundles / CI/CD integration
• Python — data engineering and scripting proficiency
• SQL — advanced analytical queries
• Git / version control — branching, PR workflows
• Docker — containerization basics
• Unit testing and data pipeline testing practices
• REST API integration patterns

Nice to have qualifications  

• Experience with Azure or AWS alongside GCP — hybrid cloud delivery experience
• Familiarity with commercetools, Contentful, or other composable commerce/content platforms
• Exposure to Salesforce Marketing Cloud data connectors or CDPs
• Knowledge of Generative AI / LLM integration patterns — Vertex AI GenAI Studio, Gemini APIs
• Experience with Databricks Agent Framework or LangChain for agentic AI workloads
• Apache Kafka or Confluent Cloud for event streaming architectures
• Google Cloud Professional Machine Learning Engineer
• HashiCorp Terraform Associate.
• Experience in luxury, retail, or FMCG verticals — understanding of product data models and PIM systems

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Full Time position based in Bengaluru

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Data Architect, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 10+ YEARS of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

Must have qualifications

To be considered for this role, you must meet the following essential qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or equivalent professional experience
• 10+ years of progressive experience in data architecture, data platform engineering, or enterprise BI/analytics roles
• Demonstrable experience as a lead data architect on at least two large-scale enterprise data platform programmes
• 3NF — operational and transactional layer design
• Dimensional modelling — Kimball star/snowflake, slowly changing dimensions
• Data Vault 2.0 — hubs, links, satellites, business keys
• Data mesh & domain-oriented data product design
• Architecture Decision Records (ADRs) and C4 modelling
• Data contract design — schema, SLAs, versioning
• Data catalogue & metadata management design
• Data quality framework design and governance policy
• BigQuery — advanced design, partitioning, clustering, BI Engine
• Dataflow (Apache Beam) — streaming and batch architecture
• Cloud Composer / Airflow — orchestration design
• Pub/Sub — event-driven data product patterns
• Dataplex — data cataloguing, lineage, data quality
• Vertex AI Pipelines — ML feature pipeline integration
• Cloud Storage — data lake zone design (raw/curated/serving)
• Terraform — IaC standards and landing zone design
• Databricks Lakehouse — medallion architecture, zone design
• Delta Lake — ACID, time travel, schema evolution, Z-ordering
• Unity Catalog — governance, lineage, access control, data products
• Databricks Workflows and Asset Bundles — lifecycle automation
• PySpark — advanced optimization, broadcast, AQE, dynamic pruning
• dbt on Databricks — transformation layer standards
• Databricks on GCP — cluster policy, instance pools, cost governance
• MLflow — model registry integration with data product layer
• Unity Catalog — fine-grained access, row/column security
• Dataplex — data mesh governance on GCP
• Data lineage — column-level lineage design and tooling
• GDPR, data residency, and privacy-by-design principles
• Data stewardship operating models
• Metadata standards — Dublin Core, OpenLineage, OpenMetadata
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification
• Databricks Certified Professional Data Engineer or Databricks Certified Associate Developer for Apache Spark
• TOGAF, Zachman, or equivalent enterprise architecture framework certification.

Nice to have qualifications  

• Azure Synapse / Microsoft Fabric — cross-cloud architecture experience
• Apache Iceberg or Apache Hudi — open table format evaluation and migration experience
• Event-driven architecture — Apache Kafka, Confluent Cloud, or Pub/Sub advanced patterns
• Generative AI integration patterns — RAG pipelines, vector stores (AlloyDB, Vertex AI Vector Search), LLM-as-data-product
• Exposure to composable commerce data models — product, pricing, inventory, order domains (commercetools, SFCC, SAP Commerce)
• Experience in luxury, retail, or FMCG verticals — multi-brand data architectures, PIM/DAM integration patterns
• OpenMetadata or Collibra — enterprise-grade data catalogue implementation
• Familiarity with Salesforce Marketing Cloud data connectors or Customer Data Platforms (CDPs)
• Google Cloud Professional Machine Learning Engineer
• CDMP (Certified Data Management Professional) — DAMA certification
• HashiCorp Terraform Associate

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Fulltime position based in Bengaluru. 

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

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

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

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

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

WE SHOULD TALK IF THIS SOUNDS LIKE YOU 

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

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

We are hiring for a Software Engineer who will work closely with other engineers of varying disciplines (DevOps, QA, Front-End ReactJS, etc.), product teams, as well as other parts of the organization. They craft applications in Java/Kotlin, leveraging AWS, CircleCI, and Terraform. We are always looking to adopt modern technology to solve business challenges. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We build and maintain a highly scalable platform that evolves to ever-changing business requirements. We learn from our experiences to always improve, and we have fun and celebrate our successes.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Build features and solutions to collect, moderate, and/or deliver user-generated content to our customers
• Become an expert in multiple solutions and areas of the codebase, while understanding the larger architecture of the entire suite of solutions
• Participate in technical brainstorming and knowledge transfer sessions; provide technical input at both team and department levels
• Collaborate with engineers, product managers, UX designers, operations, and other teams to build a cohesive experience
• Contribute to each step of the product development process, including ideation, design, planning, architecture, development, testing, release, and maintenance
• Participate in and contribute to CI/CD, application monitoring, security, and developer tooling initiatives
• Support additional responsibilities as needed

WE SHOULD TALK IF THIS SOUNDS LIKE YOU

• 5+ years of full-stack application development using Kotlin and Java with AWS
• 3+ years of experience developing APIs for front-end applications
• 5+ years of experience with relational databases (PostgreSQL, MySQL) and large data sets
• 1+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, Drone, GitHub Actions)
• 2+ years of experience leveraging infrastructure as code using Terraform
• 1+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• Experience leveraging automated database DDL (Liquibase, Flyway) (preferred but not required)
• Experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB,
• MongoDB, NoSQL) (preferred but not required)
• Experience building containerized applications (Docker) and deploying them to orchestration platforms (AWS ECS, Kubernetes, Docker Swarm) (preferred but not required)
• Experience with source control tools such as Git (preferred but not required)

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

Senior Software Engineer will work closely with other engineers of varying disciplines (DevOps, QA, Front-End ReactJS, etc), product, as well as other parts of the organization. They craft applications in Java/Kotlin, leveraging AWS, CircleCI, and Terraform. We are always looking to adopt modern technology to solve business challenges. We have a team-oriented culture, value collaboration, self-direction, and continuous improvement. We build and maintain a highly scalable platform that evolves to ever-changing business requirements. We learn from our experiences to always improve, and we have fun and celebrate our successes.

Responsibilities:

• Build out features and solutions to collect, moderate, and/or deliver user-generated content to our customers
• Become an expert on multiple of our solutions and areas of our codebase, while understanding the larger architecture of our entire suite of solutions
• Participate in technical brainstorming and knowledge transfer sessions; provide technical advice at a team level and a department level
• Communicate across teams by collaborating with fellow engineers, product managers, UX designers, operations, and other development teams to build a holistic experience
• Proactively identify pain points and potential issues within our architecture and code base, and proactively tackle tech debt
• Contribute to each step of the product development process, from ideation and design, to planning and architecting, to building out the solution and infrastructure, to testing, to releasing, and maintenance
• Participate, build, and implement department CI/CD, application monitoring, security, and general developer tooling initiatives
• Mentor more junior engineers
• Other duties as assigned

Required Skills/Abilities:

• 8+ years of full-stack application development in our language stack (Kotlin, Java) and with AWS
• 5+ years of experience developing APIs for front-end applications
• 5+ years of strong experience with relational databases (PostgreSQL, MySQL) and large data sets
• 2+ years of experience leveraging and maintaining CI/CD tooling (CircleCI, Drone, GitHub Actions)
• 2+ years of experience leveraging infrastructure as code using Terraform
• 1+ years of experience with event-driven development (SQS, SNS, Kafka, Kinesis, Pub/Sub) and idempotent patterns
• Previous experience leveraging automated database DDL (Liquibase, Flyway)
• Previous experience leveraging automated database DDL (Liquibase, Flyway)
• Previous experience with object data stores (AWS S3, Azure Blob Storage, GCP Cloud Storage) and/or document data stores (AWS DynamoDB, MongoDB, NoSQL)
• Previous experience building containerized applications (Docker) and deploying them to orchestration (AWS ECS, Kubernetes, Docker Swarm)
• Experience with source control tools such as Git

Role Overview:

We are seeking an experienced Cloud Engineer to design, implement, and continuously improve our Business Continuity Planning (BCP) and Disaster Recovery (DR) capabilities across AWS cloud environments.

This is a hands-on technical role requiring deep AWS expertise, strong scripting skills, and a passion for building highly available, fault-tolerant, and resilient cloud architecture by leveraging container orchestration with Kubernetes and infrastructure as code using Terraform. Good understanding of CI/CD pipelines to enable rapid, reliable deployments and minimize downtime. Adept at implementing DR strategies including multi-region failover, backup and restore automation, and recovery testing aligned with industry BCP/DR standards. You will collaborate closely with security, infrastructure, and application teams to ensure our systems can withstand and rapidly recover from any disruption.

Reports To: Director of Event Response
Level: Senior Individual Contributor

Key Responsibilities:

Cloud Resilience Architecture

• Design and implement multi-region, multi-AZ AWS architectures that meet RTO/RPO targets
• Engineer active-active and active-passive failover patterns using Route 53, Global Accelerator, and CloudFront
• Build automated DR runbooks and playbooks using AWS Systems Manager Automation and Step Functions
• Implement chaos engineering practices using AWS Fault Injection Simulator (FIS) to validate resiliency
• Architect cross-region replication strategies for S3, DynamoDB Global Tables, RDS, and Aurora Global
• Review containerized workloads using Kubernetes, ensuring resilience through self-healing, auto-scaling, and multi-cluster or multi-region deployments.

Backup & Recovery Engineering

• Administer AWS Backup across all services (EC2, EBS, RDS, EFS, FSx, DynamoDB, Aurora) with policy-based automation
• Design immutable backup vaults and cross-account/cross-region backup replication pipelines
• Develop and automate data recovery testing procedures, ensuring integrity and meeting defined SLAs
• Implement point-in-time recovery (PITR) for databases and storage; validate via regular restore drills
• Maintain Business Continuity Plans (BCP) and Disaster Recovery (DR) strategies, including tracking RTO (Recovery Time Objective) and RPO (Recovery Point Objective).

Infrastructure as Code & Automation

• Author and maintain Terraform/CloudFormation templates for all BCP/DR infrastructure components
• Automate DR testing pipelines through CI/CD (CodePipeline, CodeBuild, GitHub Actions)
• Write Python/Bash/PowerShell scripts to orchestrate failover, failback, and health-check workflows
• Manage infrastructure state in AWS Control Tower and implement Landing Zone DR patterns

Monitoring, Alerting & Incident Response

• Build CloudWatch dashboards, alarms, and composite alarms for availability and DR-readiness indicators
• Integrate AWS Health, Personal Health Dashboard events into PagerDuty/OpsGenie alerting workflows
• Participate in on-call rotations and lead DR incident response; conduct post-incident reviews (PIRs)
• Develop and maintain runbooks for AWS service degradations, regional outages, and data corruption events

Governance, Compliance & Testing

• Conduct regular  BCP/DR tabletop exercises and full failover simulations to validate recovery procedures and improve organizational readiness, document results and action items.
• Ensure DR controls meet SOC 2, ISO 22301, NIST 800-53, and HIPAA/PCI requirements as applicable
• Maintain current and accurate DR documentation: BIAs, BCPs, DRP runbooks, and recovery evidence
• Collaborate with audit and compliance teams to provide DR evidence and remediation tracking

Required Qualifications:

Experience

• 5+ years in cloud infrastructure, SRE, or IT disaster recovery engineering roles
• 3+ years of hands-on AWS experience in production environments at scale
• Proven delivery of multi-region DR architectures with defined and tested RTO/RPO targets
• Expert-level proficiency with core AWS resilience services (see skills matrix below)
• Strong scripting skills: Python, Bash, or PowerShell for automation and orchestration
• Experience with Infrastructure as Code: Terraform and/or AWS CloudFormation
• Solid understanding of networking fundamentals: VPC, TGW, Direct Connect, VPN, DNS failover
• Excellent written and verbal communication; able to produce executive-level DR reports

Preferred Qualifications

• AWS Certified Solutions Architect – Professional or AWS Certified DevOps Engineer – Professional
• AWS Certified Advanced Networking – Specialty certification
• Experience with AWS Resilience Hub for automated resilience assessments and policy enforcement
• Familiarity with CloudEndure / AWS Elastic Disaster Recovery (DRS) for workload replication
• Knowledge of Kubernetes-based DR (EKS multi-region, Velero backups, ArgoCD GitOps failover)
• Hands-on experience with serverless DR patterns (Lambda, API Gateway, DynamoDB)

About Our Security Team:

You'll be joining a security organization that emphasizes automation, engineering-driven approaches, and systematic problem-solving. Our team operates at the intersection of security operations, detection engineering, incident response, and infrastructure security. We value practical solutions, measurable outcomes, and continuous improvement.

Reporting to the Director of Event Response you'll execute on strategic initiatives to operationalize mature BCP/DR capabilities that protect AlphaSense's mission-critical operations and support our commitment to customer trust. This role sits at the critical intersection of incident response and business continuity, ensuring our ability to respond to and recover from major disruptions.

Role Overview:

We are seeking an experienced Cloud Engineer to design, implement, and continuously improve our Business Continuity Planning (BCP) and Disaster Recovery (DR) capabilities across AWS cloud environments.

This is a hands-on technical role requiring deep AWS expertise, strong scripting skills, and a passion for building highly available, fault-tolerant, and resilient cloud architecture by leveraging container orchestration with Kubernetes and infrastructure as code using Terraform. Good understanding of CI/CD pipelines to enable rapid, reliable deployments and minimize downtime. Adept at implementing DR strategies including multi-region failover, backup and restore automation, and recovery testing aligned with industry BCP/DR standards. You will collaborate closely with security, infrastructure, and application teams to ensure our systems can withstand and rapidly recover from any disruption.

Reports To: Director of Event Response
Level: Senior Individual Contributor

Key Responsibilities:

Cloud Resilience Architecture

• Design and implement multi-region, multi-AZ AWS architectures that meet RTO/RPO targets
• Engineer active-active and active-passive failover patterns using Route 53, Global Accelerator, and CloudFront
• Build automated DR runbooks and playbooks using AWS Systems Manager Automation and Step Functions
• Implement chaos engineering practices using AWS Fault Injection Simulator (FIS) to validate resiliency
• Architect cross-region replication strategies for S3, DynamoDB Global Tables, RDS, and Aurora Global
• Review containerized workloads using Kubernetes, ensuring resilience through self-healing, auto-scaling, and multi-cluster or multi-region deployments.

Backup & Recovery Engineering

• Administer AWS Backup across all services (EC2, EBS, RDS, EFS, FSx, DynamoDB, Aurora) with policy-based automation
• Design immutable backup vaults and cross-account/cross-region backup replication pipelines
• Develop and automate data recovery testing procedures, ensuring integrity and meeting defined SLAs
• Implement point-in-time recovery (PITR) for databases and storage; validate via regular restore drills
• Maintain Business Continuity Plans (BCP) and Disaster Recovery (DR) strategies, including tracking RTO (Recovery Time Objective) and RPO (Recovery Point Objective).

Infrastructure as Code & Automation

• Author and maintain Terraform/CloudFormation templates for all BCP/DR infrastructure components
• Automate DR testing pipelines through CI/CD (CodePipeline, CodeBuild, GitHub Actions)
• Write Python/Bash/PowerShell scripts to orchestrate failover, failback, and health-check workflows
• Manage infrastructure state in AWS Control Tower and implement Landing Zone DR patterns

Monitoring, Alerting & Incident Response

• Build CloudWatch dashboards, alarms, and composite alarms for availability and DR-readiness indicators
• Integrate AWS Health, Personal Health Dashboard events into PagerDuty/OpsGenie alerting workflows
• Participate in on-call rotations and lead DR incident response; conduct post-incident reviews (PIRs)
• Develop and maintain runbooks for AWS service degradations, regional outages, and data corruption events

Governance, Compliance & Testing

• Conduct regular  BCP/DR tabletop exercises and full failover simulations to validate recovery procedures and improve organizational readiness, document results and action items.
• Ensure DR controls meet SOC 2, ISO 22301, NIST 800-53, and HIPAA/PCI requirements as applicable
• Maintain current and accurate DR documentation: BIAs, BCPs, DRP runbooks, and recovery evidence
• Collaborate with audit and compliance teams to provide DR evidence and remediation tracking

Required Qualifications:

Experience

• 5+ years in cloud infrastructure, SRE, or IT disaster recovery engineering roles
• 3+ years of hands-on AWS experience in production environments at scale
• Proven delivery of multi-region DR architectures with defined and tested RTO/RPO targets
• Expert-level proficiency with core AWS resilience services (see skills matrix below)
• Strong scripting skills: Python, Bash, or PowerShell for automation and orchestration
• Experience with Infrastructure as Code: Terraform and/or AWS CloudFormation
• Solid understanding of networking fundamentals: VPC, TGW, Direct Connect, VPN, DNS failover
• Excellent written and verbal communication; able to produce executive-level DR reports

Preferred Qualifications

• AWS Certified Solutions Architect – Professional or AWS Certified DevOps Engineer – Professional
• AWS Certified Advanced Networking – Specialty certification
• Experience with AWS Resilience Hub for automated resilience assessments and policy enforcement
• Familiarity with CloudEndure / AWS Elastic Disaster Recovery (DRS) for workload replication
• Knowledge of Kubernetes-based DR (EKS multi-region, Velero backups, ArgoCD GitOps failover)
• Hands-on experience with serverless DR patterns (Lambda, API Gateway, DynamoDB)

About Our Security Team:

You'll be joining a security organization that emphasizes automation, engineering-driven approaches, and systematic problem-solving. Our team operates at the intersection of security operations, detection engineering, incident response, and infrastructure security. We value practical solutions, measurable outcomes, and continuous improvement.

Reporting to the Director of Event Response you'll execute on strategic initiatives to operationalize mature BCP/DR capabilities that protect AlphaSense's mission-critical operations and support our commitment to customer trust. This role sits at the critical intersection of incident response and business continuity, ensuring our ability to respond to and recover from major disruptions.

About the Role

We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques.

As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results.

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

• Java11, JUnit5,
• Docker and Kubernetes
• AWS, GCP
• Terraform, WireMock, RestAssured
• Bazel, BuildKite

What You’ll Do

• Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback.
• Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness.
• Write high-signal test strategies for complex features and automate them across multiple environments.
• Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions.
• Build internal tools and proof-of-concepts using AI/LLM technologies to:
• Accelerate debugging and failure triaging
• Generate high-quality test scenarios
• Detect flaky patterns or regression risks
• Improve log analysis and root-cause identification
• Enhance developer and QA productivity
  
  
• Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines.
• Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes.
• Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals.
• Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking.

Skills We’re Looking For

• 5+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence.
• Deep understanding of OOP principles and strong proficiency in Java.
• Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios.
• Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions.
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes).
• Experience building and maintaining CI/CD pipelines with tools such as Jenkins, CircleCI, Buildkite.
• Experience working with backend automation frameworks.
• Knowledge of database testing and ETL/data pipeline validation is a strong plus.
  
  AI & Productivity Engineering

• Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities.
• Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines.
• Ability to design prompt strategies, validate LLM outputs rigorously and implement safeguards to prevent hallucinations or unsafe automation.
• Experience streamlining workflows using AI to improve measurable engineering productivity.
• Comfortable feeding, tuning and orchestrating AI agents to solve real engineering problems.
• Strong outcome orientation, measures success through impact, reliability gains and velocity improvements rather than output volume.

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