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. 

Role 

We are looking for a Senior Database Developer (PostgreSQL/MySQL/AWS Aurora, SQLite) to join our team in a Hybrid (Bangalore, Hyderabad or Mohali) capacity, reporting to the Senior Director, Software Engineering. You will design, build, and optimize high-performance database systems at planet scale, owning data modeling, complex SQL development, and cloud-native automation. This role is critical for supporting sharded, high-throughput workloads and ensuring the reliability of our global data infrastructure.

What you’ll do (Role Expectations)

• Design and evolve high-scale data models, partitioning strategies, and sharding patterns to support massive transactional and analytical workloads
• Optimize query performance and database internals across Postgres and MySQL fleets using advanced profiling tools and configuration tuning
• Lead the operation and scaling of AWS Aurora environments, including Serverless v2, Global Databases, and read replica management
• Architect and execute zero-downtime schema migrations and robust disaster recovery strategies to ensure world-class system reliability
• Standardize database observability and automation by building CI/CD pipelines for schema changes and managing infrastructure as code

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 6+ years of professional experience with relational databases, including 3+ years operating cloud databases such as AWS Aurora or RDS in production
• Expert-level proficiency in SQL, PL/pgSQL, and MySQL stored routines with a track record of optimizing systems handling thousands of TPS/QPS
• Deep technical knowledge of database internals including MVCC, WAL, vacuuming, and InnoDB locking mechanisms
• Hands-on experience with data modeling, partitioning, and infrastructure as code tools like Terraform or CloudFormation
• Advanced skills in performance diagnostics using tools like EXPLAIN ANALYZE, pg_stat_statements, and Performance Insights

What Will Make You Stand Out (Preferred Qualifications)

• Experience with streaming platforms like Kafka and managing database operations within Kubernetes environments
• Proven ability to drive cost and performance optimization for cloud databases through IOPS and storage class tuning
• Knowledge of connection management tools like PgBouncer and integration with search engines like Elasticsearch

#LI-Hybrid #LI-AN4

Role

We are looking for a Principal Site Reliability Engineer to join our Engineering team in a hybrid capacity based in Hyderabad, reporting to the Director, Site Reliability Engineering. 

You will contribute as a development engineer within our Engineering team, helping to build and enhance the world’s largest cloud security platform. You will bring your vision and passion to a team of experts enabling organizations worldwide to harness speed and agility through a cloud-first strategy.

What you’ll do (Role Expectations)

• Perform operational duties for FedRAMP cloud products, including deployments, on-call support, and incident management
• Join deployment sync calls and conduct Operations hand-offs to ensure seamless continuity
• Manage cloud infrastructure elements, including AWS GovCloud, private cloud, containers, and VMs
• Operate and enhance monitoring systems while driving automation, scripting, and Infrastructure as Code (IaC) efforts
• Write and maintain documentation, resolve escalations, prevent incident recurrence, and promote DevOps best practices

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose

What We’re Looking for (Minimum Qualifications)

• 10+ years of experience as a Site Reliability Engineer with expertise in Operations and Engineering
• Experience with FedRAMP compliance (High/Moderate levels), vulnerability management, and continuous monitoring, including scanning, patching, and reporting
• Proficiency in Linux administration, network troubleshooting, and infrastructure as code (Ansible, Terraform) in cloud environments
• Experience in large-scale distributed systems, containerized architectures (AWS ECS, Kubernetes), and cloud services, with a strong foundation in web security, networking, and coding (Python)

What Will Make You Stand Out (Preferred Qualifications)

• Experience with containerized architectures such as AWS ECS and Kubernetes
• Knowledge of web security protocols including HTTP, SSL/TLS, DNS, SQL, and networking fundamentals
• Coding experience in Python, for automation and software integration

#LI-SK3 

#LI-HYBRID

Role

We are looking for a seasoned Staff Software Development Engineer to join our Product Security Engineering department. This is a hybrid role based in Bangalore, reporting to the Senior Director, Software Engineering. You will join our Internal Security Automation team, contributing to securing the world’s largest cloud security platform. You'll bring your vision and passion to a team of experts who enable organizations worldwide to harness speed and agility through a cloud-first strategy.

What you’ll do (Role Expectations)

• Design, build, and operate foundational security services, AI security agents, and integrations with internal systems to empower Zscaler engineering teams to ship secure software

• Implement scalable APIs and microservices in Go for seamless system communication

• Collaborate with architects and product owners to ensure cloud services align with company standards

• Participate in on-call rotations to resolve production issues while continuously improving system reliability

Who You Are (Success Profile)

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

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

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

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

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

What We’re Looking for (Minimum Qualifications)

• 7+ years of professional software development experience, including 3+ years focused on developing backend cloud systems using Python or Go

• Proficiency in building web services using REST, GraphML, or gRPC and managing secure endpoint communication

• Experience with containerized application development and orchestration using Kubernetes

• Proficiency in designing, deploying, and operating services and applications on AWS including familiarity with IaC frameworks such as Terraform or CDK

What Will Make You Stand Out (Preferred Qualifications)

• Familiarity with full-stack development, frontend development, and DevOps automation workflows

• Proficiency in the use of coding assistants such as Google Code Assist, Windsurf, Cursor, or Claude code on production codebases

• Hands-on experience building AI agents with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG)

#LI-Hybrid #LI-PM5

Role 

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

As a DevOps Engineer you will be responsible for managing development and infrastructure demands. Additional responsibilities for this role include deploying systems and supporting peer developers.

What you’ll do (Role Expectations)

• Provisioning Zscaler services on public cloud (AWS, Azure, GCP) using Kubernetes, helm and terraform
• Ensuring security compliance of service deployment
• Working with the team to control costs and optimize cloud utilization
• Designing and implementing CI/CD pipelines
• Advocating and guiding Software Engineers in adopting DevOps philosophy

Who You Are (Success Profile)

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

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience with an Engineering or Computer Science degree, specializing in hosting 24x7 services on public cloud platforms like AWS (preferred), GCP, or Azure
• Automation and orchestration experience using relevant technologies (e.g. Terraform, Cloudformation, Ansible, etc.)
• Skilled in managing Kubernetes clusters and proficient with CI/CD tools like Bamboo and Jenkins
• Proficient in Databases and SQL (preferably Postgres) with experience in cloud architecture components like message queuing, in-memory caches, and load balancing
• Familiarity with logging and monitoring technologies such as prometheus, Grafana end ELK Stack

What Will Make You Stand Out (Preferred Qualifications)

• Understanding of TCP/IP protocol stack, HTTP, TLS, PKI and other related protocols and products (DNS, DHCP, VPN, HA, routing and switching)
• Understanding of security technologies like firewall, IPS, Authentication,VPN

#LI-RM6 #LI-Hybrid

See yourself at Twilio

Join the team as Twilio’s next Senior Network Engineer.

About the job

This position is needed to help build, operate, and maintain the global corporate network infrastructure, VPN, ZTNA, and connectivity to our cloud-based systems. As part of the Identity and Network Trust team, you will monitor network performance to proactively respond to incidents. You will need to possess the technical knowledge to troubleshoot and perform root cause analysis for escalated connectivity issues. You also will collaborate with the security team and other engineering teams to develop a secured global network infrastructure.

Responsibilities

• Build, operate and support the global Twilio IT network infrastructure.
• Keep track of network assets, including network hardware and software.
• Monitor the network performance, availability, utilization, throughput and latency, providing measurable metrics to the IT leadership team.
• Work closely with stakeholder teams to determine current and future network needs.
• Prioritize projects and work based on business priorities using the Scale Agile Framework (SAFe).
• Develop methods and tools to be used to test and implement new LAN/WAN systems.
• Analyze the current network structure and collaborate on how to make the network more efficient, scalable and sustainable.
• Formulate strategies to maintain and upgrade network systems efficiently.
• Respond to incidents, engage in network troubleshooting activities to determine root cause and resolve network issues.
• Create and maintain documentation for network design, IT network standards and process.

*Required:

• 7+ years of experience with building campus and/or data center network infrastructure, AWS cloud services and networking
• 5+ years of experience with Cisco LAN/WAN/Wifi and Palo Alto Networks firewalls
• 3+ years experience with AWS cloud services and networking
• Advanced knowledge of IEEE 802 standards and core IETF networking protocols including 802.11 suite, TCP/IP, DNS, DHCP, routing and switching protocols
• Hands on knowledge of network monitoring
• Knowledge of network security to implement security policy for compliance
• Proficient skill in WIndows, Mac, Linux client networking
• Experience in troubleshooting network problems at different OSI model layer
• University degree in computer science or equivalent experience
• Excellent written and verbal communication skills

Desired:

• Cisco CCNA/CCNP Certification
• AWS certification
• Zscaler Zero Trust Systems experience and/or certifications
• Scripting language with API automation
• Experience with infrastructure as code (IaC) using Terraform
• Knowledge of ITIL framework and its application in a network environment
• Project management skills

Location

This role will be Remote and based in India (Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi)

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way and perform job duties

What We Offer

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

See yourself at Twilio

Join the team as Twilio’s next Engineer, Identity & Access.

About the job

Twilio is growing rapidly and seeking an Identity & Access Engineer to integrate, build and automate systems. This technical role is critical for securing access across the entire enterprise. You will be instrumental in integrating, automating, and securing the identity lifecycle for all employees and systems. You will champion an "Everything-as-Code" approach, translating security principles like Least Privilege Access (LPA) and Zero Trust into scalable, automated, and auditable engineering solutions that eliminate manual provisioning and reduce security risk. Your primary mission is to proactively mitigate identity-related security risks and ensure stringent access governance across all Twilio resources and environments.

Responsibilities

In this role, you’ll:

• Implement IAM Architecture: Integrate and deploy enterprise-level IAM solutions, APIs, and integrations focused on core security principles, including Least Privilege Access (LPA) and Zero Trust.
• Environments: Work across a diverse technical landscape, rapidly deconstruct new environments whether you’re writing logic in a script or a visual canvas. Bridge the gap between custom code and no code platforms.
• Prioritize and champion an "Everything-as-Code" mentality for IAM and access management processes, eliminate manual tasks related to access provisioning and deprovisioning by turning it into an automation. 
• Privileged Access Management (PAM): Actively contribute to developing and maintaining the strategy for managing and securing Privileged Accounts (User and Service Accounts), reducing attack surface area, and enhancing monitoring capabilities.
• Compliance & Audit: Lead participation in security audits, risk assessments, and mitigation activities, ensuring all IAM controls meet stringent regulatory and internal compliance standards
• Innovation & Modernization: Dive into new security technologies frequently, championing the implementation of bleeding-edge authentication standards and advanced access control models
• System Integration & Development: Integrate identity platforms with core enterprise applications (e.g., ServiceNow, JIRA) using REST APIs and common identity protocols. Contribute to internal frontend libraries and frameworks to build self-service access interfaces.
• Operational Support: Participate in a 24x7 on-call rotation to quickly resolve high-severity issues impacting authentication and access for the enterprise.

Required: 

• 2+ years of progressive experience in Software Engineering, DevOps, or Security Engineering 
• 1+ year of hands-on experience developing production-grade automation scripts and applications using Node.js, JavaScript, or a similar OOP language
• Proven experience building and operating robust workflows in an Identity Governance platform (e.g.,  Okta Identity Governance, SailPoint, or similar)
• Understand and be able to implement or interact with a REST API
• Hands-on experience with identity management across major cloud providers (AWS, GCP, or Azure).
• Demonstrated experience implementing and securing solutions for SSO, MFA, IGA and PAM.
• Practical understanding of modern authentication/authorization protocols (e.g., SAML 2.0, OAuth 2.0, OIDC, SCIM).
• Experience with Okta, ServicesNow, JIRA, Google, and AWS Workspaces
• Expertise in modern physical and cloud infrastructure SWE and DevOps industry standards and practices
• Successful candidates will have experience integrating and deploying a variety of services ensuring adherence to Least Privilege Access (LPA) and Zero Trust security models.

Desired:

• Comfortable on being a 'beginner' in new domains. The ability to tackle problems that lie outside our immediate expertise.
• BS in Computer Science/DevOps Engineering or equivalent professional experience 
• Knowledge of ITIL framework/standard methodologies and ability to understand the concepts of identity management for enterprise systems.
• Experience with Infrastructure-as-Code (IaC) principles and tools (e.g., Terraform) and container orchestration platforms (Kubernetes/Docker).
• A strong documentation ethic, capable of creating and maintaining clear, concise runbooks, security procedures, and system architecture documentation.
• Adopt engineering best practices to deliver, secure, maintainable and scalable software. (e.g., GIT, CI/CD, AGILE)
• Ability to collaborate with resources across multiple disciplines
• A passion for security technology, a love for helping people, and an unwavering attention to detail necessary for maintaining a secure environment.

Location

This role will be Remote and based in India (Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi)

Travel 

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way and perform job duties

What We Offer

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

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

When was the last occasion you had the opportunity to contribute to a company that is shaping an industry and empowering individuals to translate ideas into tangible impact with speed? Smartsheet's core mission is to empower everyone to enhance their work processes. Our business model is founded on identifying exceptional talent and providing them with the autonomy to develop our acclaimed Software as a Service (SaaS) offering. With a user base exceeding 10 million, our platform is utilized across various industries, including construction, retail, and software development, presenting us with unique technical challenges.

Smartsheet is seeking a Senior Business Systems Engineer to join our Corporate Systems Development team in Bangalore. This role focuses on building and maintaining scalable backend integrations using AWS services, powering mission-critical data flows across internal systems in Finance, People, Sales, Legal, and Engineering. You’ll develop solutions leveraging tools like AWS Lambda, SQS, SNS, and languages such as Node.js and Python, integrating systems such as Salesforce, NetSuite, Workday, Snowflake, and other enterprise platforms. If you thrive on backend architecture, cloud automation, and building systems that scale, this role is for you.

This role is based in Bangalore, India, reporting to the Senior Manager, Systems Development, and collaborating closely with global engineers, system analysts, and architects.

You Will:

• Design, build, and maintain backend integrations using AWS services such as Lambda, S3, SQS, SNS, and EventBridge
• Develop API-based automations and orchestrate data flows between Salesforce, NetSuite, Workday, Snowflake, and other SaaS platforms
• Refactor and enhance legacy integration logic to align with modern architecture standards
• Own your code from design through CI/CD (GitLab) and deployment via Terraform/CloudFormation
• Collaborate with US-based engineers on shared initiatives, sprint planning, code reviews, and technical handoffs
• Participate in a shared production support rotation, resolving critical integration and data pipeline issues
• Provide technical mentorship to junior engineers, especially on high-complexity initiatives
• Partner with architects and BSAs to review integration design and testing strategies for reliability and resilience
• Support both ETL-style batch pipelines and real-time event streaming using CDC and platform events
• Contribute to evolving team SOPs, architecture standards, and shared development libraries
• Lead backend development within complex cross-functional projects, including work breakdown and delivery tracking

You Have:

• BS in Computer Science, related field, or equivalent industry experience
• 7+ years of experience in backend software development or automation using Node.js, Python, VS code or similar
• Strong experience with AWS services, especially Lambda, S3, SQS/SNS, EventBridge, DynamoDB
• Expertise in database design, schema modeling, and query optimization (DynamoDB & Snowflake preferred)
• Strong grasp of integration design patterns, secure API development (REST/SOAP), and system interoperability
• Develop and maintain GitLab based CI/CD pipeline implementations for tests, linting, deployment, etc.
• Experience with managing infrastructure as code (Terraform, CloudFormation)
• Demonstrated experience building and maintaining integrations with Salesforce, NetSuite, Workday, Coupa, Stripe, Snowflake
• Familiarity with data validation, schema evolution, and cross-system reconciliation (preferred)
• Excellent collaboration and communication skills in a distributed, global team setting
• Confidence navigating production environments, owning critical issue resolution from end to end
• Experience delivering integrations and automation solutions across Finance, People, Sales, Legal, BI
• Proven ability to lead initiatives and proactively communicate with technical and non-technical stakeholders
• Comfortable working independently, while also mentoring and reviewing work for Level 1/2 developers
• The flexibility to adjust to changing priorities, new technologies, and evolving project requirements.
• Comfortable operating in an Agile environment, and familiar with Sprint ceremonies like Daily stand-up, Sprint planning,Sprint Finalization etc. 
• Familiar with prompt engineering / Generative AI for code generation is preferred

We’re looking for a highly skilled Platform Engineer to help scale and strengthen our Kubernetes-based production environment. In this role, you’ll take ownership of platform reliability, performance, and observability while working hands-on across Kubernetes, GCP, Terraform, and modern infrastructure automation. You’ll collaborate closely with Engineering and Product teams to influence architecture decisions, solve complex performance challenges, and design resilient, scalable systems that support our growing platform. This is a high-impact role for someone who thrives in technical problem-solving, cares deeply about operational excellence, and enjoys building platforms that engineers love to use.

Responsibilities:
● Maintain and extend our Kubernetes platform
● Improve Performance & Reliability of our production platform
● Ensure proper observability of the production systems
● Assist with database and service performance tuning
● Collaborate with Development Engineers on impacts of new features
● Identify architecture bottlenecks and work with Engineering on new solutions
● Collaborate with Support on operational runbooks

Requirements:
● Minimum 3+ years Kubernetes
● Operating System: Linux 
● GCP Cloud experience is mandatory, good to have multi-cloud experience.
● Terraform 
● Container lifecycle
● Programming Go, Python or similar
● Database optimization
● Network level troubleshooting

Education and Experience:
• At least 6 - 8 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD with 1 year experience; or equivalent experience preferred. 
• Degree in Computer Science, Engineering, or related field preferred

#LI-KB7

#LI-Hybrid 

#kubernetes

#GCP

We are seeking a QA Automation engineer to support Vonage’s Residential platform.  As part of this role, the candidate will learn, automate our front end and backend Business Support Systems (BSS) including billing , product catalog, ordering shipping and more.  The components also support the APIs for all frontend applications including support tools, customer self service, subscribe and online account.

Specific Requirements (Technical Knowledge, Responsibilities, Software, Etc.)

• A minimum of 6+ years of experience in the role of a QA Automation Engineer is required.
• Excellent communication skills (written and oral)
• Linux based systems (RedHat, Docker, etc.) 
• Develop automated tests and test frameworks to enhance software quality.
• Conduct functional and non-functional testing, including performance, security, resiliency, and chaos testing.
• Identify and implement quality processes to enhance engineering efficiency.
• Automate various aspects of the software development lifecycle.
• Strong automation testing expertise for REST and SOAP APIs, with coding proficiency in Python or Java.
• Hands-on experience with performance testing frameworks (e.g., Selenium, Cucumber) and CI/CD tools like Jenkins or GitHub Actions.
• Experience with Apache & WebLogic platforms 
• Understanding of various database architectures (SQL / Oracle, Mongo, etc.)
• Working knowledge of GIT, SVN, JIRA, AWS, Puppet, SOAPUI
• Experience partnering and collaborating with both on and off-shore teams
• Experience working in an agile environment

Additional Skills (would like to have but not required)

• Knowledge of billing platforms
• Familiarity with cloud platforms, particularly AWS, and infrastructure-as-code tools like Terraform and CloudFormation.
• Experience with observability and monitoring tools like Grafana and Kibana.
• Understanding of JMS or other message processing platforms.

#LI-CK1

We are seeking a seasoned Platform / Site Reliability Engineer to lead the evolution and performance of our Kubernetes-based production environment. In this role, you will drive reliability, scalability, and observability across mission-critical systems while working hands-on with Kubernetes, GCP, Terraform, and modern infrastructure automation. You will partner closely with Engineering and Support teams to optimize system performance, influence architectural decisions, and build resilient platforms that enable business growth at scale.

Responsibilities:

• Maintain, scale, and enhance our Kubernetes production platform
• Improve the performance, reliability, and availability of production systems
• Ensure comprehensive observability across services, infrastructure, and applications (metrics, logs, traces, alerts)
• Diagnose and tune database and service performance across distributed systems
• Partner with Development teams to assess platform impact of new features and architectural changes
• Identify architecture bottlenecks and contribute to scalable, resilient technical solutions
• Collaborate with Support teams to build and maintain operational runbooks and improve incident response processes

Requirements:

• 5+ years of hands-on Kubernetes experience in production environments
• Strong expertise with Linux systems administration and troubleshooting
• GCP cloud experience required; multi-cloud exposure is a plus
• Proficiency with Terraform and infrastructure-as-code workflows
• Strong understanding of container lifecycle management and deployments
• Programming experience in Go, Python, or a comparable language
• Experience with database performance optimization and tuning
• Solid knowledge of networking fundamentals and network-level troubleshooting

Education and Experience:

• At least 10+ years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or a PhD with 5 years experience; or equivalent experience preferred
•  Degree in Computer Science, Engineering, or related field preferred
  
  

#LI-KB7

#LI-Hybrid

#GCP

#Python

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

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

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

Senior DevSecOps Engineer

Position Summary

The Senior DevSecOps Engineer will be embedded within product engineering teams to implement and maintain secure, automated, and reliable delivery pipelines while following standards, frameworks, and guardrails set by the DevSecOps Center of Excellence (CoE).

This is a hands-on role that reports to the Manager of DevSecOps and works directly with developers, SREs, and product managers to enable faster, safer deployments, cost-efficient infrastructure, and adherence to enterprise security policies. The engineer will collaborate closely with Principal and Senior Staff DevSecOps engineers for technical guidance and mentoring while operating within the centralized DevSecOps leadership framework.

Key Responsibilities

Product Line DevSecOps Execution

· Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for the assigned product line.

· Integrate security testing (SAST, SCA, DAST, container scanning) into build and deployment workflows.

· Apply CoE standards, templates, and automation frameworks consistently within product environments.

· Troubleshoot and resolve DevSecOps issues, escalating complex challenges to Staff/Principal engineers.

Infrastructure & Automation

· Implement Infrastructure-as-Code (Terraform, CloudFormation) for product infrastructure.

· Adopt GitOps practices for repeatable and auditable infra provisioning.

· Ensure infrastructure deployments comply with security guardrails, tagging, and cost controls.

Observability, Security & Compliance

· Collaborate with SREs to enable monitoring, logging, and observability (Prometheus, Grafana, OpenTelemetry, New Relic, CloudWatch).

· Ensure pipelines and infrastructure comply with HIPAA, SOC2, and internal security standards.

· Embed IAM, KMS, GuardDuty, Security Hub into workflows for cloud security posture.

FinOps & Cost Awareness

· Implement CoE-defined cost governance practices in product pipelines.

· Ensure workloads are tagged, right-sized, and cost-efficient.

· Provide cost visibility to product teams and support FinOps reviews.

Collaboration & Continuous Improvement

· Work closely with developers, QA, SRE, and product managers to support secure and efficient delivery.

· Participate in CoE knowledge-sharing sessions, playbooks, and Communities of Practice.

· Contribute feedback from product teams back into the CoE to improve standards and frameworks.

· Continuously learn from Staff and Principal engineers and apply best practices within the product line.

Qualifications & Experience Required

· 8+ years in DevOps, Cloud, or Security Engineering.

· Strong hands-on experience with CI/CD pipeline tools (GitHub Actions, GitLab CI, Jenkins, ArgoCD).

· Proficiency in AWS services (EKS, ECS, EC2, S3, IAM, Security Hub, GuardDuty).

· Hands-on with containers & Kubernetes (Docker, EKS).

· Experience with Infrastructure-as-Code (Terraform, Pulumi, CloudFormation).

· Familiarity with observability platforms (Prometheus, Grafana, OpenTelemetry, New Relic, CloudWatch).

· Programming/scripting in Python, Go, or shell scripting.

· Strong collaboration skills in cross-functional product teams.

Preferred

· Experience in SaaS or healthcare software environments.

· Knowledge of databases (MongoDB, Elasticsearch, SQL).

· Familiarity with compliance frameworks (HIPAA, SOC2, ISO 27001).

· Certifications: AWS Security Specialty, CKA/CKAD, FinOps Certified Practitioner

The Role

We are currently seeking a Staff Software Engineer, Infrastructure to join the AI Platform team that powers seamless insights and interaction through natural language and data intelligence across our AI products.

As a Staff Software Engineer, you’ll architect, build, and operate the backend and platform systems that power AI Platform. You’ll work across service design, distributed systems, cloud infrastructure, event-driven processing, observability, CI/CD, and production reliability, helping shape the technical direction of a platform that supports scalable, client-facing AI experiences.

This role requires a strong software engineering foundation combined with deep infrastructure and systems thinking. We are looking for an engineer who can write high-quality production code, make sound architectural tradeoffs, and own platform capabilities end-to-end — not someone focused only on scripting, cloud configuration, or infrastructure tooling in isolation.

You will collaborate closely with frontend, product, and AI/ML engineers to deliver reliable, secure, and scalable systems that align with Addepar’s standards of performance, resilience, and trust.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

• Design, build, and operate backend services and infrastructure that power AI Platform products.
• Write high-quality production code for platform and service layers, with strong emphasis on maintainability, reliability, and performance.
• Architect and evolve distributed systems that support AI Platform capabilities such as real-time interactions, asynchronous processing, and secure data workflows.
• Build and extend cloud-native infrastructure across core services, networking, storage, identity, and observability layers.
• Design and maintain infrastructure as code using Terraform, including reusable modules, environment management, and drift-safe workflows.
• Build and operate Kubernetes/EKS-based services, including deployment strategies, health checks, scaling configuration, and containerization workflows.
• Design and improve CI/CD pipelines, release workflows, and engineering productivity systems.
• Build and maintain asynchronous and event-driven systems using queues, RPC/service communication, and resilient failure-handling patterns.
• Design and evolve relational and NoSQL data models, including schema design, migrations, replication, and access patterns.
• Build and maintain observability across metrics, logs, tracing, dashboards, and alerting.
• Apply secure-by-default engineering practices across IAM, secrets, encryption, network isolation, and production operations.
• Mentor engineers through code review, design review, incident reviews, and technical guidance.
• Drive technical decisions that improve platform reliability, scalability, developer productivity, and long-term system health.

Who You Are

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
• At least 8+ years of professional software engineering experience, including significant experience in backend, infrastructure OR platform oriented work.
• Strong proficiency in at least one production backend language such as Python, Go, OR Java and the ability to work effectively across a polyglot environment.
• Strong software engineering fundamentals, including system design, debugging, code quality, testing, and operational ownership.
• Deep hands-on experience with cloud infrastructure in production environments.
• Strong experience with infrastructure-as-code workflows such as Terraform or equivalent tools.
• Experience with Kubernetes/EKS, Docker, and modern deployment practices.
• Experience designing or extending CI/CD pipelines in production environments.
• Experience with distributed systems, microservice communication, message queues, asynchronous processing, and failure handling.
• Experience with both relational and NoSQL database design in production systems.
• Strong observability and production-debugging skills.
• Strong communication, collaboration, and mentoring skills.
• Ability to operate as a software engineer first: we are not looking for someone who is only strong in scripting, cloud configuration, or infrastructure tooling without corresponding depth in production software engineering.

Bonus

• Experience with AI/ML platform tooling such as Databricks, Spark, MLflow, or model-serving systems.
• Experience with real-time streaming or WebSocket-based systems at scale.
• Experience with multi-region architectures, data residency, or failover design.
• Experience in fintech or other highly regulated environments.
• Experience optimizing platform cost, performance, and reliability tradeoffs at scale.

About Us:

Sauce Labs is the leading provider of continuous test and error reporting solutions that give companies the confidence to develop, deliver and update high quality software at speed.  The Sauce Labs Continuous Testing Cloud identifies quality signals in development and production, accelerating the ability to release and update web and mobile applications that look, function and perform exactly as they should on every browser, operating system and device, every single time.  Sauce Labs is a privately held company funded by TPG and Riverwood Capital.

The Role:

The Mobile Device Infrastructure team is one of the most important core teams in our real device infrastructure product line. It doesn’t only maintain our real device fleet in a healthy state which is essential to our customers, but it also offers services and abstractions used by other teams to interface with the mobile devices fleet in order to elevate the customer experience with added value such as advanced insights and troubleshooting capabilities. Both are embodied in complex and challenging problems that require strong backend skills and a deep understanding of mobile device systems.

As a member of a constantly evolving team, your responsibilities will frequently adapt and grow. However, we ensure consistent context and scope throughout a project's lifecycle. This fosters a work environment that is both focused and enjoyable, offering numerous learning opportunities.

As a Software Engineer you will:

• Contribute to the development and maintenance of mobile agents, backend services, and frontend tools.
• Collaborate on the integration of mobile apps and frameworks into our core infrastructure.
• Interface with mobile OS APIs and protocols (USB/Network) to manage real device connectivity.
• Execute technical tasks that adapt mobile device behavior for lease-based environments.
• Participate in the full development lifecycle, from code implementation to automated testing.

Responsibilities:

• Triage and resolve device-specific issues to maintain high fleet availability.
• Implement optimizations in device allocation and cleanup workflows to improve performance.
• Support system health by participating in code reviews and contributing to design discussions.
• Monitor and report on metrics to help the team make data-driven improvements.
• Ensure operational excellence by managing your own code within CI/CD pipelines and following established best practices.
• Deliver high-quality code that is well-tested and maintainable.

Required Skills:

• Proficiency in Java or Kotlin (Golang experience is a plus).
• Strong debugging skills and a logical approach to problem-solving.
• Familiarity with Linux/Unix environments.
• Foundational knowledge of mobile app development (Android or iOS).
• Effective communication and the ability to work in a collaborative team setting.

Nice to Have:

• Understanding of Android internals (AOSP, adb, or MDM).
• Exposure to Objective-C or Swift.
• Basic experience with Docker or Kubernetes.
• Awareness of infrastructure-as-code concepts (Terraform, Ansible).

This position is required to be in the office 5 days a week.

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

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

Security responsibilities at Sauce

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

Overview of Role

We are seeking a seasoned Senior Oracle DBA with 5–8 years of experience to join our Managed Services team. This role is unique; you will be responsible for maintaining the stability and performance of our current legacy environments while simultaneously architecting, migrating, and managing our future-state database infrastructure.

As a consultant-minded DBA, you will act as a trusted advisor to our customers, ensuring their data remains secure, highly available, and scalable as they transition to modern cloud or hybrid architectures.

Employment Type- It's a contract role for 6 months (Remote) with potential to extend or convert. ***Start date: Immediate joiner****

Responsibilities

Core Database Management (Current State)

• Administration: Perform day-to-day monitoring, maintenance, and troubleshooting of Oracle 12c, 19c, and 21c environments.
• Performance Tuning: Proactively identify bottlenecks using AWR, ADDM, and ASH reports. Optimize complex SQL queries and memory structures.
• High Availability: Manage and maintain Oracle RAC, Data Guard, and Golden Gate for real-time replication and disaster recovery.
• Security & Patching: Execute quarterly RU/PSU patching and ensure compliance with security standards (encryption, auditing, and user access control).
• Exadata: Strong expertise in managing Oracle databases on Oracle Exadata, including deployment, configuration, patching, and lifecycle management.

Strategic Transition (Future State)

• Cloud Migration: Lead the migration of on-premises databases to Oracle Cloud Infrastructure (OCI), AWS (RDS/EC2), or Azure.
• Modernization: Implement and manage Autonomous Databases (ADW/ATP) and Exadata Cloud Service.
• Infrastructure as Code (IaC): Utilize Terraform or Ansible to automate database provisioning and configuration management.
• Architecture Design: Assist in designing scalable, multi-tenant architectures that align with the customer’s long-term digital transformation goals.

Managed Services Excellence

• SLA Management: Ensure all database services meet or exceed defined Service Level Agreements (SLAs).
• Customer Advisory: Translate technical database concepts into business value for stakeholders.
• Incident Management: Lead Root Cause Analysis (RCA) for critical production outages.

Qualifications

• Experience: 5–8 years of dedicated Oracle DBA experience, preferably within a Managed Services Provider (MSP) or a large-scale enterprise environment.
• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Certifications: Oracle Certified Professional (OCP) is required; OCI Solutions Architect or Autonomous Database Specialist certifications are highly desirable.
• Communication: Exceptional verbal and written communication skills with the ability to manage client expectations during high-pressure migrations.
• Mindset: A forward-thinking approach—you don't just "fix" databases; you optimize them for the future.

Job Description

PayPay's rapid growth necessitates the expansion of its product teams and underscores the critical need for a resilient Data Engineering Platform. This platform is vital to support our increasing business demands. The Data Pipeline team is tasked with creating, deploying, and managing this platform, utilizing leading technologies like Databricks, Delta Lake, Spark, PySpark, Scala, and the AWS suite.

We are actively seeking skilled Data Engineers to join our team and contribute to scaling our platform across the organization.

Main Responsibilities

• Create and manage robust data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform.
• Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines.
• Develop data processing workflows using Databricks, Delta Lake, and Spark technologies.
• Maintain and improve the Data Lakehouse, utilizing Unity Catalog for efficient data management and discovery.
• Construct automation, frameworks, and enhanced tools to streamline data engineering workflows.
• Collaborate across teams to facilitate smooth data flow and integration.
• Enforce best practices in observability, data governance, security, and regulatory compliance

Qualifications

• Minimum 7 years as a Data Engineer or similar role.
• Hands-on experience with Databricks, Delta Lake, Spark, and Scala.
• Proven ability to design, build, and operate Data Lakes or Data Warehouses.
• Proficiency with Data Orchestration tools (Airflow, Dagster, Prefect).
• Familiarity with Change Data Capture tools (Canal, Debezium, Maxwell).
• Strong command of at least one primary language (Scala, Python, etc.) and SQL.
• Experience with data catalog and metadata management (Unity Catalog, Lakeformation).
• Experience in Infrastructure as Code (IaC) using Terraform.
• Excellent problem-solving and debugging abilities for complex data challenges.
• Strong communication and collaboration skills.
• Capability to make informed decisions, learn quickly, and consider complex technical contexts.

• Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.

Remarks

＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.

PayPay 5 senses

• Please refer PayPay 5 senses to learn what we value at work.

Working Conditions 

Employment Status

• Full Time

Office Location

• Gurugram (Wework)
  

  ＊The development center requires you to work in the Gurugram office to establish the strong core team.
     

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. 

Bready* to make a change?

Toast is looking for a Staff Machine Learning Engineer to serve as a technical linchpin for our AI Platform team. At the P4 level, you aren't just deploying models; you are designing the fundamental infrastructure that enables dozens of teams to build, deploy, and monitor AI at scale. You will act as a force multiplier, mentoring senior engineers and setting the architectural standards for our MLOps lifecycle—from feature stores and automated retraining to high-performance inference at the edge.

About this Roll*:

• Architectural Leadership: Design and lead the evolution of a unified MLOps platform that supports diverse needs across Toast, ensuring high availability, scalability, and security of ML services.
• Engineering Excellence: Champion and institutionalize best practices for CI/CD for ML (MLOps), automated testing, and infrastructure-as-code (Terraform).
• Cross-Functional Synergy: Lead collaborative efforts across Data Engineering, DevOps, and Product teams to bridge the gap between model prototyping and production-grade reliability.
• Strategic Roadmapping: Partner with leadership and Product Managers to define the 1-2 year technical vision for AI infrastructure, prioritizing long-term stability over short-term fixes.
• Operational Ownership: Set the standard for observability and incident response for ML systems, driving root-cause analysis for complex system failures.
• Mentorship: Actively mentor P2 and P3 engineers, fostering a culture of technical rigor and continuous learning.

Do you have the right ingredients*?

• Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
• Experience: A minimum of 10-12+ years of professional software engineering experience, with at least 6-7 years specifically focused on productionizing and scaling ML systems at the enterprise level.
• Core Tech Stack: Expert-level proficiency in Python, Scala, or Java/Kotlin. Extensive experience with PySpark and high-performance computing.
• Generative AI & LLMOps: Proven track record of taking LLM applications from research to production, including experience with Vector Databases, LangChain/LangGraph, and A2A protocols.
• System Design: Superior ability to design distributed systems that handle millions of requests with sub-second latency.
• Experience with microservice based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.)
• Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration, MLflow
• Profound knowledge of model deployment, orchestration (Apache airflow, Prefect), scaling, and managing CPU/GPU resources efficiently. 
• Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach. 
• Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
• Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable

Bonus Ingredients (The "Staff" Edge)

• Data Strategy: Experience implementing enterprise-grade Feature Stores (e.g., Tecton, Feast) and real-time streaming frameworks like Apache Flink or Ray.
• Full-Stack Visibility: Ability to dive into the UI/UX layer (React) or deep into the kernel/networking layer to debug performance bottlenecks.

Open Source/Community: Contributions to relevant open-source projects (MLflow, Kubeflow, etc.) or a history of speaking at industry conferences.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Why we're hiring:

To help us scale and deliver solutions across our Data Mesh platform, we are looking for a DevOps engineer who can be responsible for the deployment of our data solutions using Azure DevOps. Automation is at the core of our solutions, which spans our development, testing and production infrastructures. A focus on balancing agility, low maintenance and security is critical.

The ideal candidate will have a solid background in DevOps engineering for a large company and be highly experienced with Azure DevOps Pipelines to deploy both IaC and solutions. You’ll be working closely with our Software & Data Engineering teams - from the first lines of code being committed to it being deployed into production.

The DevOps engineer will also help design & plan projects and be involved in project execution decisions.

What you'll be doing:

• Build CI/CD process to increase release efficiency and reduce occurrence of errors.
• Develop software to integrate with internal backend systems
• Perform root cause analysis of deployment errors and provide future mitigation of those errors
• Communicate to both technical and non-technical stakeholders
• Cloud deployment and management
• CI/CD management and deployment
• Performance assessment, monitoring and recommending performance enhancements
• Infrastructure management using IaC
• Continuous testing at different stages of the development lifecycle
• Helping to implement a DevOps culture

What you'll need:

• At least 3 years’ experience as an Azure DevOps engineer
• Azure infrastructure configuration and management with at least AZ-900 certification
• Experience of designing and implementing CI/CD pipelines in Azure DevOps for web services and data products
• Scripting in Python, Bash and Powershell
• Experience with tools including Docker, Kubernetes
• Experience Azure Data Services - Data Factory, Synapse, Azure Databricks
• Experience using ARM and Terraform (Experience using Bicep an advantage)
• Experience Azure DevOps to deploy Azure Cloud Scale Analytics (Not essential)
• Problem-solving attitude
• Collaborative team spirit  

Who you are:

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

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

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

What we'll give you:

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

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

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

#LI-Hybrid 

Job Title: Lead .NET Developer 

Location: Open to any Orion Innovation office - Mumbai/Pune/Kochi/Hyderabad/Chennai/Coimbatore/Kochi

Work type: Hybrid (12 days in office required)

Mandatory Skills & Experience

• Strong experience with C# / .NET writing high-quality code with test coverage.
• Testing methodologies such as test-driven development or playwright.
• Proven experience as a technical lead within a delivery team
• Leading lower-level architectural and design decisions and setting engineering standards
• Performing code-reviews and ensuring maintainable and secure code
• Driving best practices for API design, data access and security
• Collaborating with product, platform, security, and architecture stakeholders
• Ownership of OAuth2/OIDC flow selection and standardization, with clear authorization strategies
• Strong EF experience, including schema migrations across both SQL and NoSQL
• Experience building solutions on Azure
• Writing unit and integration tests; using mocking frameworks
• Strong understanding of SOLID principles and clean code practices
• Experience working with CI/CD pipelines (ideally Azure DevOps)
• Comfortable working in an Agile delivery environment

Nice to Have

• Defining and evolving CI/CD standards across teams
• Deep hands‑on experience with Terraform on Azure
• Ownership of test strategy (unit, integration, contract, automation)

ABOUT THE TEAM:

The Information Technology (IT) team is the backbone of our organization, ensuring the seamless and secure operation of our technology. Our mission is to empower employees by providing reliable and innovative IT solutions that enable them to achieve their goals efficiently. We are dedicated to maintaining a robust and secure infrastructure, proactively addressing technical challenges, and offering exceptional support to foster a digitally driven and collaborative work environment.

The IT team plays a crucial role in managing our technology infrastructure, from resolving hardware and software issues to overseeing application updates and integrations, and monitoring SaaS applications, web traffic, and access to ensure a secure environment. We are committed to minimizing disruptions and ensuring uninterrupted access to essential resources through proactive support and timely resolutions

ABOUT THE ROLE: 

As IT Workplace Operations Engineer, you will play a key role in ensuring a seamless, secure, and scalable IT experience across our global hybrid workforce. This is a hands-on technical role with growing ownership - you'll move beyond day-to-day support to take responsibility for IT systems, processes, and service quality across your area.

Working closely with Workplace, Security, People Ops and Engineering teams, you'll contribute to both the operational running of IT and the continuous improvement of how we deliver it. This is the right role for someone who has solid IT foundations and is ready to take the next step - owning workstreams, driving small-scale improvements, and becoming a trusted technical resource for the team and the wider business.

• Support and maintain IT operations for in-office and remote teams, ensuring consistent, high-quality service delivery with minimal disruption
• Take ownership of endpoint and device management across Intune, Jamf, MDM and SSO platforms, ensuring availability, performance and compliance
• Manage IT asset lifecycle end-to-end - procurement coordination, provisioning, lifecycle tracking, audit support and secure decommissioning
• Ensure a smooth employee experience by owning onboarding and offboarding device workflows, working closely with People Ops and Security
• Manage and maintain office AV equipment and conference room technology, ensuring reliability for day-to-day and event use
• Identify and implement process improvements and lightweight automation opportunities to reduce manual work and improve support efficiency
• Contribute to the documentation of IT processes, runbooks and workflows, helping move the team from reactive to proactive operations
• Support compliance with company security policies and industry standards, contributing to audits and risk assessments as needed
• Collaborate with cross-functional teams including Engineering, Security and Workplace on IT initiatives and policy alignment
• Act as a go-to technical resource for junior colleagues, providing guidance, knowledge-sharing and hands-on support to raise the team's overall capability
• Participate in the on-call rotation to provide after-hours technical support when required

WHAT WE ARE LOOKING FOR: 

• 3-5 years of experience in IT operations or workplace support, with clear progression beyond helpdesk into systems ownership, hands-on expertise with modern IT tools including MS Intune, Jamf, Meraki Wireless Networks, and Okta.
• Well-versed in ITIL principles and fluent in ITSM platforms such as Jira or ServiceNow across incident, request and change management
• Confident troubleshooting Windows and Mac devices across hardware, software and connectivity issues
• Solid working knowledge of G-Suite and Microsoft 365 administration and support
• Competent in AV and conference room technology management, keeping environments reliable for everyday use and events
• Beginning to explore automation, scripting or Infrastructure as Code - GitHub or Terraform exposure is a plus
• Strong documentation habits - able to write clear runbooks, process guides and handover notes
• A natural go-to for junior team members - approachable, knowledgeable, and invested in bringing others along
• Effective communicator who can engage confidently with both technical peers and non-technical stakeholders
• Comfortable working in a fast-paced, high-growth environment where priorities shift and ownership is encouraged

WHAT YOU’LL GET IN RETURN:

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

ABOUT THE TEAM: 

The Information Technology (IT) team is the backbone of our organisation, ensuring the seamless and secure operation of our technology. Our mission is to empower employees by providing reliable and innovative IT solutions that enable them to achieve their goals efficiently. We are dedicated to maintaining a robust and secure infrastructure, proactively addressing technical challenges, and offering exceptional support to foster a digitally driven and collaborative work environment.

The IT team plays a crucial role in managing our technology infrastructure, from resolving hardware and software issues to overseeing application updates and integrations, and monitoring SaaS applications, web traffic, and access to ensure a secure environment. We are committed to minimising disruptions and ensuring uninterrupted access to essential resources through proactive support and timely resolutions

ABOUT THE ROLE: 

As IT Enablement Engineer, you will be responsible for ensuring a seamless, secure, and scalable IT Experience across our global workforce, hybrid workforce. You’ll take an active role in technical execution, working with a high performing team that supports our employees across locations.

You’ll oversee day-to-day IT Service delivery, infrastructure reliability, and user support, while also looking at automations, process improvements, and cross-functional collaboration. Working closely with Workplace, Security, People Ops and Engineering teams, you’ll ensure that technology empowers our employees to do their best work-whether they’re in office or remote.

• Support IT operations for both in-office and remote teams, ensuring a smooth, efficient , and high-quality service delivery
• Oversee IT infrastructure and endpoint management systems, including Intune, Jamf, SSO, MDM and core SaaS platforms, ensuring system availability and performance
• Manage and maintain office audiovisual (AV) equipment, ensuring high availability and a seamless user experience for conference rooms, digital signage, and internal events
• Manage IT assets, including procurement, life cycle tracking, audit support, provisioning, and secure decommissioning of devices and IT resources
• Ensure seamless employee experience by overseeing onboarding, offboarding and device management workflows, collaborating closely with People Ops and Security teams
• Collaborate with cross-functional teams, such as Engineering, Workplace and Security, to ensure alignment on technology initiatives, security policies, and operational improvements
• Support automation and process efficiency, identifying and implementing opportunities to reduce manual work and enhance support through automation tools, scripting and system integrations
• Participate in the on-call rotation to provide after-hours technical support as required
• Ensure compliance with company policies, security protocols and industry best standards, supporting audits, risk assessments and security posture improvements

WHAT WE ARE LOOKING FOR: 

• Proven track record in IT support and operations across engineering, support, and site services, ensuring reliability and efficiency at scale
• Experience of ITIL-based processes to drive standardisation, reduce operational noise, and improve service delivery
• Skilled in balancing day-to-day operational demands through ITSM tools such as Jira
• Hands-on expertise with modern IT tools including Microsoft Intune, Meraki Wireless Networks, Jamf
• Experienced Windows and Mac device and application trouble shooting 
• G-Suite and MS-Office support skills
• Exposure to Github and Terraform, with focus on Infrastructure as Code(IaC)
• Experiences in driving automation initiatives to eliminate respective tasks and streamline support operations
• Adept at building clear workflows and documentation
• Effective communicator with both technical teams and non-technical teams from all levels.
• Passionate about enabling productivity, scalability and a seamless end-user experience through strong IT foundations

WHAT YOU’LL GET IN RETURN: 

• Competitive Compensation -  competitive salary and share options
• Time Off – Generous annual leave on top of bank holidays.
• Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
• Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
• Health Insurance – Private family insurance with additional OPD coverage and top-up options.
• Life & Accident Cover – Comprehensive accidental and life insurance protection.
• Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
• Volunteering & Development Days – Paid days annually for volunteering or personal growth.
• Learning & Development – Annual budget for books, courses, coaching, and more.
• WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
• Home Office Setup – Contribution towards setting up your home office
• Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
• Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).

About the Role

We are looking for a Senior Software Engineer, Reliability, you will serve as a hands-on technical leader within the SRE team, guiding senior engineers, influencing product development teams, and ensuring the systems we operate are built to be reliable, scalable, and observable from the ground up.

You will drive strategic initiatives, mentor others in the practice of SRE, and help define architectural best practices across our platform. This role is pivotal in aligning teams, enforcing high standards, and scaling SRE principles globally within Veeam.

What You’ll Do

Reliability Engineering & Resilience

• Design and evolve infrastructure to be highly available, fault tolerant, and scalable across public clouds (initially Azure, with future expansion plans to other providers).
• Establish and maintain SLIs, SLOs, and error budgets that define and enforce reliability objectives.
• Lead incident response, analysis, blameless postmortems, and sharing sessions in order to maximize learning across our entire engineering team and driving changes to the entire socio-technical engineering system.

Observability & Operational Excellence

• Drive adoption of deep observability practices, ensuring telemetry, logs, metrics, and tracing are comprehensive and actionable.
• Develop automation and self-healing tools to reduce toil and support Veeam’s fleet management strategy.
• Participate in on-call rotations and lead operational excellence across the stack.

Engineering at Scale

• Contribute to infrastructure as code (IaC), CI/CD systems, deployment automation, and scalable config management.
• Integrate and extend monitoring and chaos engineering tools to validate reliability assumptions under load and failure conditions.
• Implement testing strategies, canary deployments, and release validation pipelines to protect production environments and allow teams to safely deliver new features as quickly as possible.

Collaboration & Culture

• Embed within product and platform teams to champion reliability from design through delivery.
• Contribute to a learning culture focused on continuous improvement and proactive risk management.
• Mentor engineers and advocate for DevOps/SRE best practices across global teams.

What You’ll Bring

• 5+ years of hands-on experience in a Software Engineering role with at least 2 years in Site Reliability, Platform Engineering, or similar.
• Deep experience building systems on public cloud providers (Azure preferred)
• Strong programming skills in JS, Node, Typescript, Go, Java, C#, or similar.
• Proven track record in delivering monitoring, alerting, and observability tooling (e.g., Prometheus, Grafana, OpenTelemetry).
• Experience with IaC tools like Terraform/Pulumi, and container orchestration (e.g., Kubernetes).
• Solid understanding of distributed systems, cloud networking, and cloud-native system design.
• Excellent communication and collaboration skills across geographies and disciplines.

Bonus Skills

• Experience working on large-scale B2B SaaS platforms.
• Background in chaos engineering, resilience testing, performance testing, load testing, or incident learning programs.
• Familiarity with compliance frameworks (e.g., ISO, SOC 2, GDPR, FEDRAMP/CMMC).

What You’ll Get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
  Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.

#LI-KP1
#Hybrid

The Multi Geo / Multi Cloud Application Architect at OpenFX owns the design and integrity of a payments and FX platform that must operate across multiple geographic regions and cloud environments without compromising on availability, data sovereignty, latency, or regulatory compliance. This is not a role that designs architecture in the abstract. You are responsible for decisions that determine whether a settlement clears in London during an AWS eu-west-1 degradation, whether a client in the UAE can transact without their data leaving the region, and whether OpenFX can migrate between cloud providers without a full platform rewrite.

Cross-border payments and FX are inherently distributed problems. Transactions originate in one jurisdiction, clear through correspondent networks in another, and settle in a third. The infrastructure that supports this must match that complexity with equivalent architectural rigour. You are the person who ensures it does.

You operate at the intersection of distributed systems engineering, cloud infrastructure, and financial regulatory compliance. You work closely with the Principal Architect, Platform team, pod-level Tech Leads, and the Security and Compliance functions to define standards, validate designs, and resolve the hardest architectural trade-offs the organisation faces.

Key Skills

Distributed Systems & Cloud Architecture

• Deep expertise in multi-region application design: active-active and active-passive topologies, global load balancing, regional failover, and cross-region replication strategies
• Strong hands-on experience with at least two major cloud providers (AWS, GCP, Azure) and a clear understanding of where provider capabilities diverge in ways that matter for financial workloads
• Proficiency in cloud-agnostic infrastructure patterns: Kubernetes (multi-cluster federation, cross-region networking), service mesh architectures, and infrastructure-as-code tooling (Terraform, Pulumi)
• Solid understanding of networking fundamentals at scale: BGP, Anycast, CDN strategies, private interconnects, and east-west traffic management across regions
• Familiarity with distributed data consistency models: eventual consistency, strong consistency trade-offs, CRDTs, and conflict resolution strategies in globally distributed databases

Financial Domain & Compliance Architecture

• Understanding of data residency and sovereignty requirements across key OpenFX operating jurisdictions: UAE (ADGM / DFSA), UK (FCA), EU (GDPR / PSD2), and other relevant frameworks
• Ability to design data partitioning and routing architectures that enforce jurisdictional boundaries without fragmenting the platform into isolated silos
• Familiarity with financial infrastructure concepts: payment rail latency, settlement finality, FX liquidity provider connectivity, and correspondent banking dependencies
• Experience ensuring audit logging, data lineage, and access controls work coherently across multi-cloud, multi-region environments

Engineering Craft & Architecture Practice

• Ability to produce ADRs, reference architectures, and design documents that are precise enough for engineers to implement from and clear enough for product and compliance to validate against
• Strong systems thinking: able to reason about failure modes, blast radius, and cascade effects in complex distributed systems
• Experience running architecture review processes across multiple independent teams

Collaboration & Communication

• Communicates complex architectural constraints and trade-offs clearly to non-technical stakeholders
• Influences through reasoning and evidence, not authority; builds consensus across pod-level Tech Leads and EMs
• Comfortable operating with significant ambiguity at the frontier of what the platform needs to become

Roles & Responsibilities

Multi-Region Architecture Design & Ownership

• Define and maintain the reference architecture for multi-region deployment: traffic routing, data replication, failover behaviour, and regional isolation boundaries
• Own architectural decisions that govern how services are deployed, scaled, and failed over across regions; ensure those decisions are documented and revisited as the platform evolves
• Design for regional independence: the ability to isolate a region for regulatory or operational reasons without degrading global capability
• Define standards for how new services must be designed to operate in a multi-region context from day one, not as a retrofit

Multi-Cloud Strategy & Portability

• Maintain an architecture that avoids hard coupling to any single cloud provider for critical platform functions
• Evaluate where to leverage managed cloud services versus cloud-agnostic alternatives, with explicit reasoning about portability, cost, and operational overhead
• Lead design of abstraction layers and platform primitives (with the Platform pod) that allow services to run across cloud environments without service-level re-engineering
• Define and test cloud provider failover runbooks; ensure provider-level degradation can be responded to within defined RTO and RPO targets

Data Sovereignty & Regulatory Architecture

• Design data routing, storage, and processing architectures that enforce jurisdictional data residency requirements across all regions OpenFX operates in
• Work with Compliance and Legal to translate regulatory obligations into concrete architectural constraints enforced at infrastructure and application layer
• Define the data classification framework for multi-region environments: what replicates globally, what stays regionally isolated, what requires explicit consent to move
• Ensure observability infrastructure produces the evidence needed to demonstrate data residency compliance to regulators

Platform Reliability & Resilience

• Define availability and resilience targets; ensure the architecture is designed to meet them under realistic failure scenarios, not just nominal conditions
• Lead chaos engineering and failure mode analysis exercises to validate that failover, replication, and multi-cloud fallback behave as designed
• Own the observability architecture across multi-region, multi-cloud deployments: unified logging, distributed tracing, and alerting that works coherently regardless of where workloads run
• Establish SLO / SLA frameworks that reflect the availability and latency commitments OpenFX makes to clients and liquidity providers

Cross-Team Architecture Governance

• Conduct architecture reviews for significant features, integrations, and infrastructure changes across all pods; ensure multi-region and multi-cloud implications are addressed before build begins
• Maintain and evolve the ADR library; ensure decisions are current and discoverable by engineers across the organisation
• Work with pod Tech Leads to identify and address architectural drift where production systems have deviated from intended design
• Contribute to the Platform pod's roadmap: identify shared infrastructure investments that reduce the cost of multi-region operation for all pods

What Success Looks Like

• A regional cloud provider degradation does not cause a platform-wide outage; failover occurs within defined targets and clients are not materially impacted
• OpenFX can demonstrate to regulators in any operating jurisdiction that client data complies with local residency requirements, backed by architecture rather than manual controls
• Pod engineers have clear standards for building multi-region-ready features and do not re-solve distributed systems problems that have already been solved at the platform level
• The platform is not locked to any single cloud provider; a migration decision can be executed as an operational programme, not an architectural rewrite
• Architecture reviews are seen as a quality accelerator by engineering teams, not a bottleneck
• You are the person the organisation turns to when the hardest infrastructure trade-offs need to be resolved, and you resolve them with clarity and evidence

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

Key Responsibilities

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

Required Technical Skills

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

Required Experience

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

Company Benefits & Perks: 

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

* Depending upon the shifts.

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

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

About the Role

The Ethos SRE group is looking for a SRE Engineer to collaborate with other teams to improve service reliability, automation  and observability and improve their application maturity, reliability, and production readiness. In this role, you will create new infrastructure and support tools, help other teams debug issues, and act as advisors regarding production readiness when new services are being designed and brought online. The person in this role will exhibit good mentoring and coding skills as well as the ability to solve complex problems related to reliability . This role also requires good interpersonal skills and the ability to motivate other teams to adopt best practices concerning reliability.

Duties and Responsibilities:

• Collaborate with other engineering teams to enhance the reliability and performance of applications, up to and including submitting PRs to their codebases with improvements
• Assist with automation, continuous integration and delivery of applications and configurations
• Assist other teams with designing solid foundations and best practices around running services in production environments
• Assist other teams implementing infrastructure level dependencies
• Help other teams identify, design, and monitor proper service-level indicators (SLI) and service-level objectives (SLO)
• Design and implement cross company resilient and reliable tools, resources, infrastructure and processes

Qualifications and Skills:

• 4+ years of full time software engineering experience in relevant role (Backend SWE / SRE / DevOps / Infrastructure / Operations)
• Experienced with software engineering best practices – design patterns, code reviews, testing, etc.
• Ability to communicate technical specifications both verbal and written
• Strong interpersonal skills
• A strong desire to remove any toil from a system
• Preferred background in distributed systems and infrastructure
• Preferred engineering experience in TypeScript, GoLang, Python, PostgreSQL, AWS
• Preferred experience with Kubernetes and Kubernetes operators
• Preferred knowledge of CI/CD systems
• Preferred experience with: Terraform, argoCD, Atlantis, GitHub Actions and DataDog

#LI-Hybrid
#LI-KP1

Job Title: Associate Software Engineer, AI
Location: Bangalore
Reports to: Sr. Manager, AI/ML

A quick snapshot…

As an Associate Software Engineer, you’ll be working on developing robust solutions across next-generation AI/GenAI based products and solutions. As a critical member of our team, you will play a pivotal role in enhancing our design, development, and continued enhancement of our features along with writing unit & integration tests to ensure features never break.

Why it’s a big deal…

This is one of the critical roles under the AI team within Engineering. You will possess deep technical expertise as a AI engineer and a strong commitment to participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment. This role works on multiple technologies and databases to make sure the product development moves towards rapid development, rich controls, more scalable, and better security.

Are you the person we’re looking for?

Related Experience. You should have at least 6 Months of experience in the software industry as a AI Engineer and the technical requirements necessary to design, develop, test and implement solutions.

Technical Skills. You’re likely to have proficiency in AI development technologies such as Python, FastAPI, PyTest, Celery and other Python frameworks and familiarity with AI/ML, GenAI, and MLOps concepts.  You also possess good understanding with object-oriented programming, concurrency, design patterns, and REST APIs. Your familiarity with CI/CD tooling such as Terraform and GitHub Actions and frameworks like LangChain, LangGraph, and databases like SQL and NoSQL such as MongoDB, MSSQL, or Postgres. Understanding of Data Structure & Algorithm analysis and its usage in scalable software design.

Strong communication and interpersonal skills. You’re not just comfortable engaging in collaborative discussions, but initiating them, too. You are skilled at reading and adapting to different communication styles. When you speak you are clear and concise. Your strong listening skills foster connections with our clients and allow you to accurately collect the right information so you can resolve issues most expediently.

Education. A bachelor’s degree in engineering or equivalent.

Here’s what will give you an edge…

Initiative. You don’t wait around for things to happen or for your manager to tell you what to do. You’re not only proactive about completing your work, but when you sense the need to introduce a project that will benefit the team or the organization -- even if it’s outside your scope of work -- you put a proposal together, talk to the team about it, and own it. And that also goes back to having an entrepreneurial spirit.

Strong troubleshooting skills and logic based thinking is your forte. This is an absolute must. Your proven ability to analyze and apply logical thinking to determine the root cause of an issue is fundamental to success in this role.

Clear, deliberate, and collaborative communicator. You don’t just engage in collaborative discussions, you initiate them regularly. You are clear and concise when you speak and write -- and even creative in terms of ensuring your messages are received and understood. You leave no room for assumptions or misunderstanding. It’s what sets you apart from the rest.

Exposure to mature SDLC practices. Understanding of Agile methodologies. Experience with unit testing, code coverage, and security scan tools. Proficient in working with source control tools like GitHub/Bitbucket.

#LI-RT1

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).

For over 20 years, Smartsheet has helped people and teams achieve–well, anything. As the Intelligent Work Management Platform, we are redefining the velocity of work by uniting people, data, and AI to move businesses forward. We don’t just automate tasks; we eliminate execution silos and turn strategic vision into measurable enterprise impact. We’re creating a space to think big and take action, because when challenge meets purpose and AI-powered execution meets human ingenuity, that’s magic at work. It’s what we show up for every day, helping organizations not just keep up with change, but thrive because of it.

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Manager AI/ML Ops Engineering, who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Focus on team members and coaching them to play to their strengths, grow and deliver peak performance
• Lead and mentor a team of AI/ML Ops engineers and operations specialists.
• Define and govern solutions for AI/ML operations, ensuring scalability, cost-efficiency, and reliability
• Develop and maintain standardized AI/MLOps workflows, including CI/CD/CT (Continuous Integration/Continuous Delivery/Continuous Training) pipelines
• Delegate and harness the aggregate strength of your team.
• Focuses on individual and team needs to foster a positive culture consistent with Smartsheet values.
• Actively helps individuals and the overall team to set priorities and focus on delivery of commitments
• Review team's designs and provide feedback on deployment safety, resilience, scale, performance, and security
• Lead and facilitate cross-team interactions, communication, and dependencies
• Ensure all changes are fully tested before being deployed
• Ensure deployment plans are well-considered and include appropriate scalability and load tests
• Work with stakeholders to align AI projects with business strategies.
• Ensure all AI/ML Ops solutions adhere to regulatory compliance, security, and ethical guidelines
• Drive Engineering and Operational excellence initiatives
• Perform other duties as assigned
  
  

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Experience building teams through recruiting and retention
• Experience in Leading and Mentoring a team of ML engineers and operations specialists.
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines
• Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable
• CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools
• Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms
• Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable
• Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time.
• Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable
• Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users
• Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.
• Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow.
• Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design, AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines
• Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable
• CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools
• Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms
• Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable
• Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time.
• Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable
• Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users
• Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.
• Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow.
• Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design, AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting. 

A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms.

This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.

You Will:

• Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products. 
• Contribute to the design standards and architectural principle standards, designs and processes.
• Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV).
• Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines.
• Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight.
• Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster.
• Create and implement data testing plans, encompassing data validation, data quality assessment, and regression testing, to identify anomalies, inconsistencies, or errors in produced datasets.
• Mentor and guide teams and help drive high standards across the team by conducting design reviews and engineering ideation forums.
• Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).

You Have:

• 6+ years of experience in advanced data modeling using Data Vault (DV 2.0), dbt, and Snowflake.
• Proven experience in building analytics systems with data transformation, dependency, and workload management (Data Vault, AutomateDV, dbt core, Airflow, Snowflake, GitLab, SQL).
• Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
• Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
• Familiarity with data governance principles for maintaining datasets to enable a single source of truth.
• Familiarity with self-serve product analytics tools (Amplitude, Thoughtspot, Tableau, Gainsight, etc.).
• Knowledge of code management and CI/CD practices (GitLab, Airflow, Snowflake, Terraform).
• Familiarity with AWS solutions such as S3, EC2, VPC.

Automation is the key to creating highly reliable and secure large-scale software systems. Are you someone who engineers solutions to problems rather than simply fixing the same thing over and over again? Can you protect Smartsheet against attackers?

We are looking for a Senior DevSecOps Engineer to join our global Security Operations team. In this critical role, you will be a leader in maturing our security and reliability posture by treating both as software engineering challenges. You will engineer and operate a highly reliable, scalable, and defensible production environment, directly impacting our ability to deliver a world-class service to our customers 24/7. This is a unique opportunity to blend deep expertise in Site Reliability Engineering (SRE) and modern Security Operations, working at the intersection of infrastructure, automation, and security to build a platform that is resilient and secure by design.

You Will:

• Engineer Secure and Resilient Infrastructure: Design, build, maintain, and improve secure, scalable, and highly available infrastructure in our multi-cloud environment (primarily AWS) using Infrastructure as Code (IaC) principles with tools like Terraform, Kubernetes, and Helm.
• Automate Proactive Security: Engineer and automate threat detection, incident response, and vulnerability management processes. You will build the tools and workflows that allow us to respond to threats at machine speed.
• Secure the Software Development Lifecycle: Architect and secure our CI/CD pipelines, integrating automated security tooling (SAST, DAST, SCA) to provide developers with fast, actionable feedback.
• Master Container Security: Manage, operate, and secure our container orchestration platform (Kubernetes), implementing best practices for container security from the registry to runtime, including knowledge of hardening requirements such as CIS Benchmarks or DISA STIG.
• Lead Incident Response: Act as a technical lead during security and reliability incidents, driving resolution and conducting blameless post-mortems to engineer preventative solutions.
• Drive Automated Compliance: Implement and automate technical controls to ensure continuous compliance with frameworks such as FedRAMP, SOC 2, and ISO 27001.
• Mentor and Lead: Serve as a subject matter expert for security and reliability, mentoring other engineers and championing a culture of operational excellence and security ownership across the organization.

You Have:

• 8+ years of progressive experience in technology, with at least 5 years in a hands-on senior role such as Site Reliability Engineering, DevOps, or Security Engineering.
• A BS or MS in Computer Science, Engineering, or a related field, or equivalent industry experience.
• Expert-level proficiency in at least one major cloud provider, preferably AWS, with deep knowledge of core infrastructure and security services.
• Expert-level proficiency with Infrastructure as Code, particularly Terraform.
• Expert-level proficiency in a scripting or programming language such as Python, Go, or Ruby, with a proven history of building automation and custom tooling.
• Deep experience with containerization and orchestration technologies (Kubernetes), including securing containerized environments.
• Proficiency with the modern security operations toolchain, including SIEM, EDR, and vulnerability scanning technologies.
• Experience integrating security tools (SAST, DAST, SCA) into CI/CD pipelines.
• A critical thinker with a proven ability to troubleshoot complex problems in high-pressure production environments.
• Excellent verbal and written communication skills and a collaborative spirit. This will include fluency in English.

Nice to Have

• Advanced industry certifications such as CISSP, CISM, OSCP, or cloud-specific security certifications.
• Experience with compliance frameworks like FedRAMP, ISO27001, SOC2.

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Principal Data & AI/ML Ops Engineers, who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. 

You Will:

• Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems
• Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies
• Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources
• Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining data platform systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design involving large Petabytes of data with Databricks Lakehouse
• Experience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context)
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python, SQL, and potentially Java or Scala
• Exposure to Snowflake and Data pipeline frameworks like Airbyte/Airflow is preferable
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Driving engineering excellence initiatives
• Legally eligible to work in India on an ongoing basis

BitGo is looking for an Infrastructure Operations Engineer to build, maintain, and troubleshoot our rapidly expanding infrastructure. You will join a talented team of engineers who demonstrate strong technical ability, delivering mission-critical infrastructure and ensuring the highest levels of availability, performance, and security.

This position will be located in Bangalore, India but will work as part of a global engineering team.

Responsibilities:

• Implement changes to production infrastructure where uptime is critical
• Maintain high availability of BitGo's Blockchain services
• Participate in the operations response team (on-call rotation)
• Facilitate deployment of new code and support release processes
• Support operational monitoring and alerting
• Ensure reliability and availability of our logging platform
• Maintain Kubernetes clusters on both bare-metal and AWS
• Support deployment strategy through automation, scripting, and workflow optimization
• Manage infrastructure as code using Terraform

Skills & Experience:

BitGo is looking for people who are passionate about their craft, take full ownership for their work and projects, and believe in a transparent and collaborative culture with the goal of making BitGo successful.

Required: 

• 3–5 years of experience in a DevOps or Cloud Infrastructure role
• Strong written and verbal communication skills in English, with the ability to collaborate effectively across global teams
• Strong Linux administration skills
• Proficiency with AWS and Kubernetes, including experience working in distributed Kubernetes environments
• Highly fluent in Bash
• Experience writing either Python, or GoLang
• Experience scaling and tuning performance of large systems
• Strong security background including secrets management, WAFs, and network policy enforcement
• Hands-on experience with databases
• Experience as a member of an on-call rotation
• Interest in the blockchain and cryptocurrency space

Preferred: 

• Experience with modern deployment tooling such as ArgoCD
• Experience with GitHub Actions or other modern CI tooling
• Experience with CNCF Kubernetes ecosystem including operators

Skills & Experience: 

BitGo is looking for people who are passionate about their craft, take full ownership for their work and projects, and believe in a transparent and collaborative culture with the goal of making BitGo successful.

Why Join BitGo?

Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.

Here are some of the benefits of working at BitGo:

• Competitive salary
• IT equipment support for work
• Meal and commute allowance
• Medical Insurance
• Attractive Well-being allowance (comprised of medical, wellness and fitness aspects)
• Snacks: on-the-house in the Bangalore office
• Great/Talented workforce to learn and grow with

Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.

Note: This role requires working onsite (Monday to Friday) at the Bangalore office.

BitGo is looking for a Blockchain Operation Engineer to help build out, maintain, and troubleshoot our rapidly expanding blockchain infrastructure. You will be part of a talented team of engineers that demonstrate superb technical competency, delivering mission critical infrastructure and ensuring the highest levels of availability, performance and security. Qualified engineers will have a background in computer systems engineering, or systems engineering and analysis.

This position will be located in India but will work as part of a global team of engineers.

Responsibilities:

• Implementing changes to production infrastructure where uptime is key
• Maintain high availability of BitGo’s Blockchain services
• Be a member of the operations response team (on-call)
• Facilitate deployment of new code
• Support operational monitoring and alerting
• Ensure reliability and availability to our logging platform
• Maintain our Blockchain stack on Kubernetes and AWS
• Support deployment strategy - automation, scripting, workflow
• Automation, infrastructure as code using Terraform

Skills & Experience: 

BitGo is looking for people who are passionate about their craft, take full ownership for their work and projects, and believe in a transparent and collaborative culture with the goal of making BitGo successful.

Required: 

• 3+ years of experience in a DevOps or Cloud Infrastructure related role
• Strong experience with Linux administration
• Fluency with AWS and Kubernetes
• Fluency with Bash, Python or GoLang
• Experience with scaling and performance of large systems
• Strong security background and secrets management
• Experience being a member of an on-call rotation
• Interest in blockchain and cryptocurrency space

Preferred: 
Experience with running or using blockchains

Why Join BitGo?

Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world’s financial markets.

Here are some of the benefits of working at BitGo:

• Competitive salary
• IT equipment support for work
• Meal and commute allowance
• Medical Insurance
• Attractive Well-being allowance (comprised of medical, wellness and fitness aspects)
• Snacks: on-the-house in the Bangalore office
• Great/Talented workforce to learn and grow with

Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.

Required Skills and Experience:

• 7+ years of experience in network engineering roles
• Relevant experience or certification (e.g. CCNP or JNCIP Data centre, Enterprise or Service provider)
• Strong knowledge of BGP, OSPF, routing policies, and network troubleshooting
• Strong understanding of TCP/IP, DNS, NAT, routing, switching, and load balancing
• Hands-on experience with Cisco networking platforms
• Ability to troubleshoot layer 2 (ARP and MAC address tables as well as LACP and MC-LAG)
• Ability to troubleshoot DNS problems
• Experience with common network cabling
• Kubernetes CNI (Calico, Cilium)
• Cloud & Hybrid Networking
• Experience with hybrid cloud networking including site-to-site VPNs and private connectivity (AWS Direct Connect, GCP Interconnect)
• Understanding of cloud-native networking services (VPC, Transit Gateway, Cloud Router)
• Automation & Infrastructure-as-Code
• Working knowledge of Terraform for network infrastructure provisioning
• Experience with configuration management tools (Ansible, or similar)
• Observability & Operations
• Experience implementing network monitoring and alerting systems
• Understanding of network performance metrics and logging
• Ability to create and maintain runbooks and documentation
• Security
• Experience implementing network security controls and segmentation
• Understanding of firewall management and security policies
• Familiarity with network access control concepts

Preferred skills:

• EVPN
• Experience with IPv6 rollout
• Juniper specific knowledge and experience
• Linux CLI

The Role

We are currently seeking a Security Operations Analyst to join our Information & Risk Team! The SecOps Analyst will have the opportunity to help take Addepar’s Security and Risk Program to the next level, through insights based on our current state. In this role, this person will work as part of the Security Operations function to investigate security alerts, develop new monitoring strategies, and work with the wider business as part of our Vulnerability Management program. The candidate will also work to document and analyse existing critical operational processes, owners and controls, and help find opportunities to optimise those controls, increase security and reduce risk. The successful candidate will bring a strong process approach, with a preference for simple, achievable and repeatable solutions.    

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

• Triage and respond to security alerts generated by our monitoring toolset, ensuring thorough investigation.
• Research and develop new monitoring strategies and build out analytics to improve our detection capabilities.
• Update or create new documentation for security tools, processes, playbooks, and procedures.
• Assist other areas of the business in effectively prioritizing and remediating vulnerabilities.
• Work closely with partners across Addepar teams, such as R&D, to evaluate critical processes, including the identification of key control points and owners.
• In partnership with Security and Risk Leadership, identify, document and track opportunities for process and control improvement.

Who You Are

• You have 4+ years of experience in Security Operations with a proven track record of investigating a variety of security alerts.
• You hold a Bachelor’s degree in Computer Science, Cyber Security, or a related field.
• Curious about information security with a desire to be a part of a fast-paced and supportive team who can help you learn on the job.
• Enjoys problem solving and finding simple solutions that bring multiple business benefits
• Strong communication skills and people skills - enjoys working with new people in different teams across the business but can also work independently
• Strong organisational skills and attention to detail
• Experience documenting simple and clear processes, runbooks, and process flows

Required Technical Skills:

• Proven experience with Sumo Logic, Splunk, or similar platforms (writing complex queries is a must).
• Direct experience performing security investigations
• Hands-on experience with Amazon Web Services (AWS) or similar cloud platform and strong understanding of implementing security best practices in the cloud. 
• Experience with Okta and Google Workspace environments will be highly desired.
• Experience with Infrastructure as Code tools such as Terraform.
  
  

  • Important Note: This role requires working from our Pune office 3 days a week (hybrid work model)