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

Roku pioneered streaming to the TV and continues to innovate and lead the industry. As we strive to influence the future of television globally, including TV advertising, the ongoing success depends heavily on our investment in the Content Management System. With Roku providing millions of movies, episodes, news, and channels, the Content Management System plays a vital role in managing content ingestion, selection, enrichment, and curation. We are seeking engineers capable of developing, designing, and deploying highly scalable, dependable applications, tools, and automation frameworks essential for efficiently handling the vast volume of content in our pipeline.

About the role

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

You will be part of the Roku Content Management System and Tools Engineering team, playing a key role in developing the next generation content management systems that drive content ingestion, selection, management, and curation workflows. These systems are vital for empowering critical functions like Search and Recommendation on the Roku Platform. Your projects will have a direct impact on millions of Roku users globally. Throughout, you'll collaborate with key stakeholders across various Roku engineering teams and take the lead in designing our content management system.

The ideal candidate will demonstrate strong technical leadership, bring endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can drive programs with the product and commercial teams within Roku and across external strategic partner organizations. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs.

What you’ll be doing

• Lead and grow a high-performing engineering team responsible for content ingestion, enrichment, QC automation, and partner portal systems.
• Architect and scale distributed systems that handle millions of assets and metadata records, ensuring reliability and low-latency processing.
• Collaborate with product and operational partners to deliver a world-class Partner Portal that empowers studios, networks, and content providers to onboard and manage their catalogs seamlessly.
• Drive automation across video, audio, artwork, and metadata QC, integrating AI/ML-based services to improve accuracy and efficiency.
• Partner cross-functionally to streamline content delivery and operational workflows.
• Provide technical direction, conduct code and design reviews, and ensure best practices in performance, observability, and security.
• Manage individual project priorities, deadlines and deliverables  
• Recruit and mentor engineers, fostering a culture of technical excellence, innovation, and accountability.

We’re excited if you have

• 5+ years proven track record in hiring, building and leading high-caliber product engineering teams.
• 8+ years of software development experience with deep technical knowledge and expertise in building high availability, large-scale distributed systems and services.
• Proven experience in building scalable, distributed backend systems in cloud environments such as AWS, GCP or Azure.
• Strong understanding of microservice and event-driven architectures, including experience with messaging and streaming frameworks like Kafka, SQS, or similar technologies.
• Strong leadership, collaboration and communication skills in working with cross-functional teams across the organization and delivering on big and ambitious goals.
• Deep understanding of content management, metadata processing, and media workflow automation.
• Experience in designing or integrating partner-facing platforms or portals for content or data management.
• Ability to handle periodic on-call duty as well as out-of-band requests; strong written and verbal communication skills.
• Bachelor’s degree in computer science plus 8 years of experience or equivalent; Master's degree preferred.

#LI-SJ1

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 

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). 

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

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

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

This role can be remotely in the India region.

About You

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

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

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

Key Responsibilities

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

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

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

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

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

What You'll Bring:

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

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

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

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

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

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

Why Join MongoDB

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

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

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

About Stripe

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

About the Team

We build and operate Stripe’s Event Infrastructure — the reliable, low-latency backbone that captures, routes, and persists billions of events daily. We design resilient, scalable systems for real-time ingestion, filtering, transformation, and high-throughput delivery to downstream consumers. We prioritize observability, backpressure control, and graceful degradation to keep payments and platform features running under any load. By automating operations and iterating on capacity and cost optimizations, we enable product teams to build on a predictable event-streaming foundation.

The Impact You’ll Have

As an Engineering Manager in the infrastructure organization, you are expected to see problems others don't and rally people to independently create solutions. You will move beyond day-to-day management to act as an industry leader, effectively advocating for your organization's mission, values, and impact.

• Architect the Org & Culture: Design and scale a high-leverage org structure. You will define what "Elite Engineering" looks like, setting the bar for craftsmanship and operational rigor serving as a blueprint for Stripe infrastructure.
• Vision and Strategy: Define the scope, vision, and goals for your organization with little or no guidance from your manager. You will anticipate industry trends and use them to influence Stripe's long-range plans, setting direction on a multi-year timeframe for Stripe’s online storage layer.
• Drive Operational Excellence: You will instill a culture of rigorous thinking and meticulous craftsmanship, ensuring our infrastructure remains proactive and resilient as Stripe’s business demands evolve.
• Bridge Engineering & Business: You will collaborate with cross-functional leaders to align deep engineering needs with global business growth forecasts.
• Build the Future Team: Proactively invest in the development of the organization and its people at all levels. You will obsess over talent, hiring and coaching other managers to elevate the skills of the leadership team.

Who You Are

We are looking for a visionary leader who thrives on operating Tier0 infrastructure and building world-class teams. You should be equally comfortable in high-level strategic conversations and deep-diving into database internals.

Minimum Requirements:

• Proven Leadership: Minimum 5 years of experience in a technical engineering management role; overseeing strategic projects.
• Systems Expertise: A deep technical background in distributed systems and experience operating Tier0 infrastructure at massive scale.
• Product Mindset: Ability to bridge deep engineering needs with global business growth forecasts and product strategy, specifically building abstractions that empower thousands of other developers.
• Strategic Navigator: Experience managing through ambiguity and making critical trade-offs between reliability, efficiency, and long-term architectural health.
• Curiosity and Humility: A deep curiosity about the "nuts-and-bolts" of the business (e.g., global money movement) combined with the humility to continue learning and growing as a leader
• Communication: Exceptional written and verbal communication skills.

Preferred Qualifications:

• Scale and Infrastructure: Successfully shipped and operated critical infrastructure (database internals or related field) with significant responsibility over funds and/or critical data
• Strategic Ambiguity: Ability to navigate complex, high-impact work where you must define your own scope and vision

Cross-Functional Influence: A track record of getting other teams on board with your vision to support execution in a way that benefits the broader company

Who we are

About Stripe

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

About the team 

Stripe Data Pipeline: The Stripe Data Pipeline (SDP) team owns a critical product that sends all of a merchant's Stripe data directly to their data warehouse. This role is essential for delivering petabytes of data daily with high reliability and low latency, marching towards a 99.99% availability and near real-time data freshness. SDP's unique selling proposition is making data seamlessly available, serving a customer base that includes major technology and Fortune 100 companies.

Revenue and Finance Automation- Revenue and Finance Automation (RFA) suite gives businesses power over the entire life cycle of their cash flow. By coordinating billing, tax, reporting, and data services in one modern stack, Stripe’s revenue and finance automation suite eliminates the inefficiencies of legacy finance tools and supports revenue growth.

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

What you’ll do

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

Responsibilities

• Lead and Architect: Take ownership of end-to-end architecture and system design for large, complex projects. Drive technical decisions that ensure scalability, reliability, and high performance across distributed systems.
• Mentor and Influence: Provide technical leadership to other engineers on the team, setting best practices in system design, architecture, and operational excellence. Act as a mentor, guiding less experienced engineers to grow into senior roles.
• Drive Product Innovation: Innovate by leveraging the latest in ML, LLMs, and data technologies, driving new features that help businesses optimize their revenue with predictive insights and advanced analytics.
• Collaborate Cross-Functionally: Partner with product, design, and data teams to deeply understand business problems and craft solutions that balance user needs, system performance, and scalability.
• Tackle Complexity: Navigate ambiguous technical challenges, breaking down complex problems into actionable solutions, and driving them from inception to successful deployment.
• Champion System Scalability and Stability: Ensure Stripe’s reporting products continue to operate at scale while maintaining system stability and providing seamless user experiences, handling billions of data points efficiently.

Who you are

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

Minimum Requirements

• 10 + years of engineering experience or equivalent combined work experience demonstrating relevant domain expertise.
• Experience in architecting and designing full-stack systems that deliver critical impact to a business
• You have great product taste and a track record of taking complex problems and solving them elegantly.
• You enjoy diving into and deeply understanding the businesses that use Stripe.
• You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs.
• You are capable of working in ambiguous fast-moving environments and have a curiosity to learn the domain to a deep level.
• You thrive on a high level of autonomy and responsibility.
• Strong collaboration skills to work effectively across multiple teams and stakeholders.
• Past experience mentoring and investing in the development of engineers.
• Pride in successfully completing projects involving a diverse range of technologies and systems.

Preferred Qualifications

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

Who we are

About Stripe

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

About the team

Role Overview

We are seeking an analytically-driven Data Analyst to join our Finance & Strategy team at Stripe. This role bridges the gap between data science and financial planning, requiring someone who can transform complex business data into actionable financial insights. You will build sophisticated dashboards, develop predictive models, and serve as the technical backbone for our FP&A and GTM analytics initiatives. This is a unique opportunity for a data professional with financial acumen to directly influence strategic business decisions in a high-growth fintech environment.

What You'll Do

Financial Data Analytics & Modeling

• Design, build, and maintain financial dashboards for FP&A, Revenue Operations, and GTM teams using Tableau, Power BI, or Looker
• Develop automated financial reporting solutions that reduce manual effort and improve data accuracy
• Create sophisticated data models to support budgeting, forecasting, variance analysis, and scenario planning
• Build predictive models for revenue forecasting, customer lifetime value, churn analysis, and unit economics

Business Intelligence & Reporting

• Partner with Finance Business Partners and FP&A teams to translate business requirements into technical solutions
• Design and implement data infrastructure for financial planning cycles (monthly/quarterly reviews, annual budgets, long-range planning)
• Develop self-service analytics capabilities enabling finance teams to access real-time business insights
• Create executive dashboards tracking key financial and operational metrics (ARR, bookings, retention, CAC, LTV)

Data Engineering & Analytics Infrastructure

• Write complex SQL queries to extract, transform, and analyze large datasets from multiple source systems
• Build ETL pipelines to integrate financial data from ERP, CRM, billing, and data warehouse systems
• Ensure data quality, consistency, and governance across financial reporting systems
• Optimize database performance and data architecture for scalability

Strategic Analysis & Insights

• Conduct deep-dive analyses on business performance, identifying trends, anomalies, and opportunities
• Support strategic initiatives through ad-hoc financial modeling and what-if scenario analysis
• Translate complex data findings into clear, actionable recommendations for leadership
• Collaborate with Data Science teams to develop advanced analytics and ML models for finance use cases

Required Qualifications

Technical Skills

• Must Have: Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)
• Must Have: Expert-level experience with at least one BI tool (Tableau, Power BI, Looker, or Qlik)
• Must Have: Advanced Excel/Google Sheets skills (pivot tables, complex formulas, data modeling)
• Preferred: Python or R for data analysis, automation, and statistical modeling
• Preferred: Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)
• Preferred: Knowledge of ETL tools (dbt, Airflow, Fivetran) and version control (Git)

Financial & Business Acumen

• Experience in data analytics within finance, FP&A, or revenue operations functions
• Strong understanding of financial statements (P&L, balance sheet, cash flow)
• Knowledge of key financial metrics: ARR, MRR, bookings, revenue recognition, CAC, LTV, gross margin, EBITDA
• Experience with financial planning processes: budgeting, forecasting, variance analysis, scenario modeling
• Understanding of SaaS/subscription business models and revenue recognition principles (ASC 606 preferred)

Analytical & Problem-Solving

• Proven ability to work with large, complex datasets and derive meaningful insights
• Experience building financial models and dashboards that drive executive decision-making
• Strong statistical analysis skills and understanding of data visualization best practices
• Track record of translating ambiguous business problems into structured analytical frameworks

Preferred Experience

• Background in fintech, payments, B2B SaaS, or high-growth technology companies
• Experience supporting GTM analytics (sales forecasting, pipeline analysis, quota setting)
• Familiarity with finance systems: NetSuite, Anaplan, Adaptive Planning, Salesforce, Stripe Billing
• Exposure to data science methodologies and machine learning concepts
• Previous work in cross-functional environments collaborating with finance, data science, and business teams

Key Competencies

• Business Acumen: Ability to understand complex business models and translate them into data requirements
• Technical Excellence: Deep technical skills with commitment to code quality and best practices
• Communication: Exceptional ability to explain technical concepts to non-technical stakeholders
• Stakeholder Management: Experience partnering with senior leaders and influencing through data
• Ownership Mindset: Self-directed with ability to manage multiple priorities and drive projects to completion
• Continuous Learning: Curiosity to learn new tools, techniques, and business domains
• Attention to Detail: Commitment to data accuracy and quality in high-stakes financial reporting

Education

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field
• Advanced degree (MBA, MS in Analytics/Data Science) or relevant certifications (CFA, CPA, data analytics certifications) a plus

What Makes This Role Unique This position sits at the intersection of data engineering, business intelligence, and strategic finance. You'll have the autonomy to architect solutions that shape how Stripe makes multi-million dollar decisions, while working with cutting-edge data technologies and some of the brightest minds in fintech. If you're energized by the prospect of building the analytics infrastructure that powers a global payments platform, this role is for you.

Job Description

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

Key Responsibilities

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

Skills and Experience

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

Role

We are looking for an experienced Staff Software Engineer to join our team. This is a hybrid role based in Bangalore, reporting to the Sr. Director, Software Engineering within the Engineering department. You will be a key development engineer responsible for designing, developing, and testing mission-critical enhancements to the Zscaler nanolog database and its associated services. Your work will focus on the evolution of query parsing, streaming architectures, and high-efficiency data storage to power our global cloud infrastructure.

What you’ll do (Role Expectations)

• Design, develop, and test enhancements to the Zscaler nanolog database and associated services
• Develop advanced features in query parsing and planner modules, including new functionalities for the Zscaler query language in metrics-based data stores
• Optimize log collection and streaming to third parties, implementing efficient storage and compression algorithms
• Troubleshoot complex issues within production clouds, profiling code to identify and improve efficiency in hot spots
• Architect large-scale, maintainable software components that support distributed systems at scale

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 software development experience with deep expertise in C programming
• Strong working experience in database kernels, specifically focused on query optimizations
• Expert knowledge of Unix systems and a strong command of Algorithms and Data Structures
• Proven track record in developing large, maintainable software architectures for distributed systems
• Experience building scalable systems with expertise in high-performance computing, multi-threading, and memory optimization

What Will Make You Stand Out (Preferred Qualifications)

• Strong knowledge of TCP/IP and HTTP protocols
• Direct experience in compiler development or advanced language design

#LI-Hybrid #LI-SU1

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 Web Development Engineer to join our Engineering team. This is a hybrid role based in Bangalore, reporting to the Director, Software Engineering.

You will join our Frontend Engineering team to lead the design, development, and evolution of browser extensions. You will play a pivotal role in shaping Zscaler’s next-generation user interfaces while mentoring and guiding other engineers.

What you’ll do (Role Expectations)

• Architect and lead the development of scalable, secure, and performant browser extensions using TypeScript while providing technical mentorship to the engineering team
• Own the extension build system and tooling to ensure reliable builds across all supported browsers while enforcing best practices in testing, modular design, and performance
• Champion the expansion of design systems for reusable and accessible components, driving the adoption of standards that ensure quality across all extension surfaces
• Partner across functions to define API contracts, roadmap integrations, and collaborate with DevOps to streamline CI/CD pipelines and evaluate emerging technologies
• Lead the refactoring and redesign of legacy systems to improve scalability and reliability through research-driven development and engineering excellence

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, viewing dynamic environments as the raw material to build something meaningful
• You act like an owner with a passion for the mission and a bias for action, seamlessly navigating between high-level strategy and hands-on execution
• You are a problem-solver who runs toward challenges with a laser focus on finding solutions that deliver the highest impact
• You are a high-trust collaborator who is ambitious for the team, embracing a challenge culture where candor and feedback are used to build respect and teamwork
• You are a learner with a true growth mindset, committed to your own development and actively seeking feedback to become a stronger teammate

What We’re Looking for (Minimum Qualifications)

• 13+ years of software development experience, with at least 5 years specializing in large-scale production TypeScript
• Expert-level proficiency in TypeScript, ES6+, core JavaScript, and advanced state management
• Proficient in HTML5 and CSS3 for building large-scale, responsive applications
• Extensive experience developing unit, integration, and E2E tests using Vitest, Jest, or Playwright
• Solid understanding of web application security risks and vulnerabilities

What Will Make You Stand Out (Preferred Qualifications)

• Extensive experience deploying browser extensions across major browsers, including deep knowledge of extension APIs, manifest versions, and store submission processes
• Expertise in profiling and optimizing frontend applications for speed and minimal loading times using lazy loading and tree shaking
• Proven ability to architect and implement scalable, modular solutions for multi-tenant applications with a focus on future-proofing

#LI-HYBRID 

#LI-SK3

Role

We’re looking for a Principal Software Development Engineer to join our team. Based out of our Bangalore office, you will report to the Senior Manager, Software Engineering within the Zero Trust Exchange department.

As a Principal Software Engineer you will build the backend systems that keep the product fast, reliable, and able to scale as usage grows. You will create microservices and event-driven workflows, and ensure data can be ingested and queried efficiently across relational, graph, and time-series databases. You will also drive cross-team execution by collaborating closely with multiple groups to deliver high-quality results on tight timelines.

What you’ll do (Role Expectations)

• Architect and deliver scalable microservices on EKS (GoLang): design, build, and operate production services that meet uptime, latency, and scale goals
• Build event-driven pipelines with Kafka and MQTT: implement asynchronous workflows that are resilient, observable, and easy to evolve as product needs change
• Design high-performance data models and access patterns: optimize ingest and querying across RDS MySQL, Neo4J, and ElasticSearch for correctness, speed, and cost efficiency
• Harden production readiness and operational excellence: establish monitoring, alerting, tracing, and on-call standards; drive root-cause fixes and reliability improvements
• Lead cross-team delivery and technical direction: align stakeholders, break down complex work, and execute quickly while maintaining a high bar for quality and security

Who You Are (Success Profile)

• 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 positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.
• You are a pragmatic builder. You are obsessed with creating, iterating, and shipping. You aren't afraid to roll up your sleeves and build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.

What We’re Looking for (Minimum Qualifications)

• Senior-level backend engineering experience designing and shipping highly scalable microservices in production developed in Go
• Proven experience with event-driven, asynchronous architectures using messaging/streaming platforms such as Kafka
• Strong data engineering and persistence skills building efficient ingest and query patterns across relational databases (MySQL) plus at least one of ElasticSearch or Neo4J
• Hands-on experience running services on Kubernetes (ideally EKS), including deployment, troubleshooting, and operational ownership

What Will Make You Stand Out (Preferred Qualifications)

• Proven ability to profile and optimize distributed systems end-to-end (latency, throughput, resource usage), including performance tuning across services, databases, and messaging
• Strong track record designing debuggability/observability for distributed applications—structured logging, metrics, distributed tracing, and actionable dashboards/alerts for rapid incident triage
• Experience defining and operationalizing SLIs/SLOs (error budgets, alert policies, reliability reporting) and driving product decisions based on measured service health

#LI-Hybrid #LI-NT1

Role 

We are looking for a Deputy Manager - Analytics and Insights to join our FP&A Analytics team. This is a hybrid role based in our Mohali Office, reporting to the Manager - Analytics and Insights, FP&A.

As Deputy Manager, you will serve as the architect and technical strategist for Finance’s modern data ecosystem—defining the Source of Truth for core SaaS metrics and building scalable, trusted data products. You will lead the professionalization of the Finance data stack in Snowflake and dbt, enabling automated reporting, faster forecasting, and high-impact analytics. You will also prototype and operationalize GenAI use cases to reduce manual effort and improve decision-making.

What you’ll do (Role Expectations)

• Define and own the governed, auditable data models for core SaaS metrics (ARR, NRR, and churn), ensuring all complex business logic is accurately translated into the data architecture
• Utilize expert-level SQL and Python to design and build analytical datasets within Snowflake that power critical FP&A reporting, forecasting, and executive insights
• Manage the Finance DBT environment by overseeing project structure, standards, testing strategies, and performance optimization, while migrating legacy logic into modern, modular facts and dimensions
• Lead efforts to identify operational bottlenecks and develop robust SQL and Python frameworks designed to eliminate manual work and streamline financial data workflows
• Spearhead the prototyping of RAG and LangChain-based solutions to provide automated business commentary and enhance self-serve insights through cutting-edge AI

Who You Are (Success Profile)

• You act like an owner whose passion for the mission fuels a bias for action and an operation of high integrity. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator who is ambitious for the team, embracing a challenging culture by giving and receiving feedback with clarity and respect.
• You are a pragmatic builder obsessed with creating, iterating, and shipping, balancing technical excellence with the need to deliver value quickly.
• You are data-driven, using analytics to find the truth and value evidence over assumptions to drive better outcomes.
• You think at scale, connecting your work to the global company mission and building solutions that are built to last in a high-growth environment.

What We’re Looking for (Minimum Qualifications)

• 5–7+ years in Finance Analytics, Analytics Engineering, or Data Engineering with strong exposure to finance systems and metrics
• Expert SQL with deep Snowflake experience including data modeling, optimization, and warehousing best practices at scale
• Strong Python proficiency for data engineering and automation including APIs, pipelines, and frameworks
• Significant hands-on DBT experience focusing on dependencies, testing strategy, standards, and CI/CD concepts
• Practical experience designing and operating ELT pipelines and orchestration such as Airflow or Prefect along with dimensional and schema design

What Will Make You Stand Out (Preferred Qualifications)

• Hands-on GenAI implementation experience with LangChain, LlamaIndex, or OpenAI APIs, ideally with RAG patterns applied to finance workflows
• Proven mentorship or code review experience setting engineering standards and elevating junior analysts and engineers
• Experience supporting SaaS at scale including hyper-growth metrics complexity, evolving governance, and multi-source finance data

#LI-HG1

#LI-Hybrid

We're seeking a Head of Machine Learning to own and scale the ML function at Prodigal. This is the senior-most ML role in the company — partnering directly with the CTO as a peer technical leader, defining the multi-year ML vision, building and leading a world-class team, and translating cutting-edge research into production systems that move the needle for over 100 customers and millions of consumers. You'll set the bar for technical excellence, hire and develop the next generation of ML leaders, and shape what consumer finance intelligence looks like over the next decade. If you've operated at this level before — or are ready to step into it at a company where ML is the engine of the product — we want to talk.

Responsibilities:

• Own the ML function end-to-end — vision, roadmap, team, delivery, and measurable business impact across classical ML, NLP, GenAI, and Agentic AI
• Partner with the CTO as the senior ML leader to set company-wide technical direction and shape the long-term roadmap for Prodigal's Intelligence Engine
• Build and lead a high-performing ML organization — hire, mentor, and develop ML engineers, applied scientists, and tech leads across multiple pods
• Translate research into product — drive the application of LLMs, Agentic AI, the modern NLP stack, recommendation systems, and classical ML into production systems serving 100+ customers
• Set technical standards for model development, deployment, monitoring, evaluation, and experimentation that scale across the org
• Architect data and ML infrastructure in partnership with the platform and engineering teams to support large-scale training and reliable, low-latency inference
• Communicate strategy and outcomes clearly to the founders, board, customers, and broader engineering organization
• Represent Prodigal externally — at conferences, in research collaborations, and as a senior voice in the consumer finance AI community
• Stay at the frontier of ML and GenAI research, identifying where new techniques unlock product and business advantage
• Collaborate cross-functionally with product, engineering, GTM, and customer success leaders to ensure ML investment ties directly to revenue, retention, and customer outcomes

Requirements:

• 10+ years of experience in machine learning and software development at a tech or product company, with 4+ years leading ML teams (managing engineers and/or tech leads)
• Proven track record of shipping ML products in production at scale with measurable business impact
• Deep technical fluency across classical ML, deep learning, and the modern NLP/LLM stack — you can still go deep in design reviews, not just review at the surface
• Strong coding skills in Python. Hands-on with PyTorch, scikit-learn, Pandas, and Spark
• Demonstrated success hiring, mentoring, and growing ML talent — including team leads and senior engineers
• Strong executive communication and the ability to set technical direction with founders, peers, and the board
• A bias for outcomes — you connect model work to revenue, engagement, and operational metrics

Preferred Qualifications:

• Experience as a founding ML hire, ML lead, or applied science leader at a high-growth AI/ML product company
• Background in voice AI, conversational AI, speech, NLP on unstructured text, or fintech/lending domains
• Experience with cloud services (AWS), Databricks, and building scalable, distributed systems
• Track record of running A/B testing and experimentation programs at scale
• Patents, publications, or open-source contributions; strong institutional pedigree (IIT, BITS, NIT, IISc)
• Experience scaling an ML org through a hypergrowth phase

Job Benefits

• GenAI at the core – Lead the ML function at a company where AI isn't a feature, it's the product. Shape groundbreaking work that redefines consumer finance intelligence.
• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• Health insurance - Health always comes first. The health of your family is as important to us as it is to you. We offer insurance coverage for both you and your family.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions, and challenge each other to do those extra push-ups or chug that 4th drink (of course, that's Nimbu Pani).

Meet Sangram (Cofounder and CTO) and hear his vision for Prodigal: https://www.youtube.com/embed/FTWlN9fwiIA?feature=shared

Manager, Salesforce Operations (L2/L3) – BIS

The Manager, Salesforce Operations is responsible for global run operations, production stability, and service delivery for the Salesforce platform across Sales Cloud, Service Cloud, CPQ, and related integrations and services. This role owns L2/L3 operational support, incident and problem management, change governance, and continuous improvement of the Salesforce ecosystem in a 24x7 global delivery model.

You will lead regional support teams, partner closely with business and technology stakeholders, and ensure Salesforce environments are secure, stable, compliant, and scalable to support Kaseya’s growth.

Key Responsibilities

Global Service Delivery & Operations

• Own end‑to‑end Salesforce production operations across global regions.
• Lead L2/L3 support for Salesforce Sales Cloud, Service Cloud and CPQ
• Ensure adherence to SLAs, incident response, and escalation protocols.
• Act as the primary point of accountability for Salesforce availability, stability, performance, and operational health.

Incident & Problem 

• Lead major incident management, including war‑room coordination and executive‑level communication.
• Drive RCA and preventative actions to reduce recurring production issues.
• Partner with Salesforce Support and third‑party vendors to resolve critical production issues efficiently.

Operational Excellence & Governance

• Standardize operational processes aligned to ITIL best practices.
• Define and manage runbooks, SOPs, monitoring, alerting, and on‑call models.
• Drive continuous improvement in MTTR, incident volume reduction, backlog aging, and operational efficiency.
• Ensure compliance with security, SOX, audit, and regulatory requirements.
• Embed security‑by‑design and least‑privilege principles across Salesforce operations.

Platform & Integration Oversight

• Oversee operational stability for:
  • Salesforce core clouds (Sales, Service,CPQ)
  • Custom Apex, Flows, and automations
• Ensure stable integrations between Salesforce and enterprise systems (e.g., NetSuite, MuleSoft, Snowflake, Data Cloud, marketing and billing platforms).
• Monitor and manage scheduled jobs, integrations, platform events, batch processes, and data synchronization pipelines.

Team Leadership & Vendor Management

• Lead, mentor, and develop a high‑performing Salesforce L2/L3 operations team.
• Manage vendor partners and managed service providers, including performance, quality, and cost accountability.
• Support workforce planning, skill development, and shift coverage strategies across global regions.
• Promote a culture of operational ownership, accountability, and continuous improvement.

Required Skills & Expertise

Salesforce Platform Expertise

• Strong expertise in enterprise‑scale Salesforce operations and support.
• Deep understanding of:
  • Salesforce security model, profiles, permission sets, and sharing
  • Production support, troubleshooting, and RCA
  • Change & release governance in regulated environments
• Experience with Apex, Flows, integrations (REST/SOAP), and middleware platforms.

Experience

• 7+ years of Salesforce platform experience in enterprise environments.
• 3+ years in a people or operations management role (L2/L3 support, engineering, or platform operations).
• 5+ years supporting Salesforce production environments.
• Proven experience working with Salesforce Support and third‑party vendors to resolve production issues.
• Experience producing operational metrics, executive dashboards, and incident reports.

Communications & Leadership

• Excellent written and verbal communication skills.
• Strong stakeholder management and executive presence.
• Ability to lead teams through high‑pressure production incidents.
• Proven mentoring and people‑development capabilities.

Education

• Bachelor’s degree or equivalent in Computer Science, Information Technology, Engineering, or a related field.

Preferred Certifications

• Salesforce Administrator, Advanced Administrator, Platform App Builder, or Architect certifications (preferred, not required).

About Inizio Ignite

We are Inizio Ignite, the global advisory partner for health and life sciences encompassing connected expertise across Research Partnership, Putnam, STEM, and Vynamic. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – helping healthcare leaders shape strategy and drive meaningful change. 

About the Role

We are seeking an experienced Data Science Manager to join our team at Inizio Ignite. The ideal candidate will bring deep machine learning expertise, strong GenAI and cloud competencies, and hands-on experience delivering analytical solutions that drive meaningful business impact for life sciences clients.

This leader will manage data scientists, oversee project delivery, partner with cross-functional teams, and shape the development of innovative AI/ML solutions.

What you'll be doing

Leadership & Delivery

• Lead and manage a team of data scientists, providing technical guidance, mentorship, and performance oversight.
• Own end-to-end delivery of data science and GenAI engagements for pharma/biotech clients.
• Translate business problems into analytical frameworks and ensure high-quality, timely project execution.
• Drive adoption of AI/ML capabilities across client engagements and internal initiatives.

Technical Responsibilities

• Architect, design, and review ML, statistical, and GenAI solutions, ensuring scalability, accuracy, and alignment with business objectives.
• Oversee the development, validation, and deployment of predictive models, NLP pipelines, and GenAI-based applications (e.g., summarization, insights automation, generative workflows).
• Lead cloud-based solution deployment (AWS, Azure, or GCP) including orchestration, MLOps best practices, and integration with enterprise systems.
• Ensure adherence to model governance, compliance, and responsible AI frameworks.

What you'll need

• Extensive experience in data science or advanced analytics roles, with at least 2–3 years in a leadership or managerial capacity.
• Ideally prior experience in pharmaceutical, biotech, or healthcare consulting is mandatory.
• Strong expertise in machine learning, NLP, deep learning, and GenAI (LLMs, prompt engineering, RAG, fine-tuning, embeddings).
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP; exposure to MLOps frameworks preferred.
• Proficiency in Python, SQL, and common DS/ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain, etc.).
• Proven experience managing teams, delivering client projects, and presenting to senior stakeholders.
• Good to have understanding of pharma datasets (claims, RWE, clinical, medical insights, social data) and key use cases.
• Experience building GenAI solutions in production environments

Our Pledge

At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.

Artificial Intelligence

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway.

The Community You Will Join:

• The Regional Payments team is the engine driving Airbnb’s global growth through deep local understanding. We believe that to truly belong anywhere, guests need a frictionless checkout experience with the payment options they know and trust.

  Our mission is to unlock regional growth by tailoring the payment journey to local needs. From offering the right mix of local payment methods to powering affordability initiatives like installment plans and partner campaigns, we build the platform capabilities that make booking an Airbnb accessible and seamless for everyone. By optimizing the guest checkout experience and understanding regional nuances, we directly drive the company's topline growth and market penetration.

The Difference You Will Make:

• • Drive Topline Growth: Take end-to-end ownership of engineering projects that directly impact the company’s Gross Booking Value (GBV) and growth by optimizing regional checkout conversion funnels.
  • Elevate the Guest Checkout Experience: Architect and build solutions that offer the right payment options at the right time, minimizing friction and maximizing payment approval rates for guests around the world.
  • Unlock Affordability & Partnerships: Design robust backend capabilities to support region-specific partner campaigns, installment plans, and targeted discounts, making travel more affordable while accelerating business growth.
  • Architect & Execute: Drive the technical design, architecture, and implementation of region-first builds, balancing custom local needs with the sustainability of our global payments platform.
            Deep Cross-Functional Collaboration: Partner closely with Product, Finance, Data, and other XFN stakeholders to define market-level technical strategies and deliver high-impact features.

A Typical Day: 

• Take end-to-end ownership of backend services and APIs (primarily in Java), from architectural design and coding to deployment and maintenance.
• Build and integrate local payment methods, affordability features (like installments), and promotional campaign logic, tailoring our systems to diverse consumer expectations.
• Analyze input and health metrics (e.g., checkout conversion funnels, payment success rates) to turn data insights into actionable engineering improvements that drive GBV.
• Collaborate with Finance and Product to align technical execution with Airbnb’s broader business strategy, ensuring we deliver strong business efficiency and ROI on partner campaigns.
• Actively monitor product/service health, participate in on-call rotations, and proactively identify areas to reduce tech debt and improve system reliability over time.
• Foster a collaborative and inclusive engineering culture, sharing knowledge, participating in code reviews, and occasionally mentoring peers

Your Expertise:

• • 3 to 6 years of industry software engineering experience in big tech companies, with a proven track record of end-to-end ownership of projects and system architecture.
  • Proficiency in backend development, primarily in Java (our core stack), with the ability to navigate full-stack environments or learn new languages as needed.
  • B.Tech/BE in Computer Science, MIS, or equivalent technical qualification.
  • Payments Knowledge is a Plus: Experience with payment networks, checkout funnels, promotional campaigns, or affordability products (e.g., Buy Now Pay Later, installments) is highly desired, but a strong willingness to learn is just as valuable.
  • Experience building and scaling reliable web applications, specifically focusing on optimizing user funnels, conversion rates, and driving growth metrics.
  • Strong ability to navigate ambiguity by proactively seeking guidance, distilling complex requirements, and designing scalable solutions.
  • Excellent communication skills—capable of writing detailed technical design documents and collaborating effectively with both technical and non-technical XFN partners (e.g., Finance, Product, Marketing).

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Greetings From Zeta Global !!

Requirements:

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

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

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

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

Responsibilities:

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

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

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

Company Summary

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

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

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

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

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

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

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

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

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

Greetings From Zeta Global !!

As a Senior Systems Administrator for Finance Systems, you will be the key architect and steward of our NetSuite ERP environment. This role is critical to ensuring seamless support and enhancements for our finance operations. You will work closely with Finance, IT, Corporate, and various business units to drive process improvements, system integrations, and operational excellence. This is a senior role that requires a self-starter who can work independently, manage vendor relationships, and mentor junior team members

This role reports to the Head of Information Technology and Corporate Systems.

Location: Hyderabad, India

Work Hours: 3 PM IST – 12 AM IST

Essential Responsibilities:

NetSuite ERP Management: Oversee the daily operations of our NetSuite instance (both sandbox and production), ensuring robust performance across modules such as GL, A/P, A/R, order and billing management, revenue recognition, fixed asset management, and banking/electronic payments. Maintain system stability, data integrity, and compliance by keeping software, scripts, and integrations up to date.

Reporting C Analytics: Serve as a NetSuite C Suite Analytics super-user by developing advanced reports, dashboards, and insights to support financial decision-making.

Vendor C Change Management: Establish and manage relationships with NetSuite vendors and professional service providers. Implement a proactive change management process, including detailed impact analysis and approval workflows for system modifications.

System Integration C Upgrades: Lead the deployment of new functionality and integrate NetSuite with other enterprise systems (e.g., Concur, ADP, SFDC). Oversee comprehensive testing and smooth execution of NetSuite upgrades.

Documentation C Compliance: Develop and maintain clear documentation, including policies, procedures, workflows, and user guides. Ensure adherence to internal controls, segregation of duties, and regulatory compliance.

Team Leadership C Mentorship: Mentor and guide junior team members, including a dedicated NetSuite administrator, with an emphasis on security and access control best practices. Continuous Improvement: Stay current with industry trends and NetSuite advancements by attending training sessions, user conferences, and online forums.

Desired Qualification:

Experience: At least 10 years of progressive ERP experience, with significant hands-on experience in managing and administering NetSuite. Demonstrated experience managing vendor relationships and leading ERP projects.

Technical Expertise: Deep understanding of core NetSuite functionalities, customization capabilities (Suite Script, Suite Analytics, workflows), and standard business processes. Proven experience in integrating NetSuite with other enterprise systems.

Skills: Strong project management, analytical, and problem-solving skills. Excellent communication skills with the ability to work cross-functionally in a dynamic, fast-paced environment. A proactive, can-do attitude with a passion for innovation and continuous improvement.

Leadership: Experience in mentoring and leading less senior team members. Ability to drive change and manage complex system upgrades with minimal external support.

WHO WE ARE 

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

PEOPLE & CULTURE AT ZETA

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

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

ZETA IN THE NEWS!

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

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

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

This new team will architect the platform foundation and infrastructure that enables a "build once, run anywhere" model, ensuring our AI-powered modernisation suite operates seamlessly regardless of a client's security or network constraints. We are looking for engineers to join this high-visibility initiative, where you will solve unique distributed systems puzzles and help shape the future of how global enterprises leverage GenAI.

We are looking for an experienced software engineer who thrives on solving infrastructure constraints and building enterprise facing platforms. 

The ideal candidate is a hands-on technical leader who can architect complex distributed systems, mentor engineers, and collaborate with product teams to deliver a platform that minimizes deployment friction and meets customers’ compliance requirements.

This role can be based out of our Gurgaon office or Remotely in India.

The ideal candidate for this role will have

• 8+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure.
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results.
• Deep experience designing distributable applications that run in air-gapped or highly restricted network environments.
• Strong proficiency in containerization and orchestration, with the ability to design systems where the host executes containerized applications under strict security monitoring.
• Experience building Service Host architectures that provide shared routing, proxy layers, and API gateways for multiple underlying services.
• Experience managing persistent storage solutions (blob/file storage) within distributed systems.
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation.
• Experience designing auto-update mechanisms for software that cannot directly access the public internet.
• Curiosity, a positive attitude, and a drive to continue learning.

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
• Drive the distributed infrastructure for the Application Modernisation Platform, ensuring it supports a self-service SaaS product model while operating within client-controlled environments.
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the lifecycle of modernization tools.
• Architect a client-side application that manages developer workflows and communicates securely with hosted services.
• Solve complex "Day 2" operations challenges, such as designing interfaces to solve DevOps challenges to manage users, secrets, and updates.
• Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP.
• Act as a hands-on leader, guiding the team through technical challenges related to container security, local vs. hosted logic distribution, and cross-service data sharing.

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments.
• Established yourself as the technical leader within the team, actively driving technical decisions.
• Begun mentoring team members and collaborating with product counterparts to define the integrations between the platform and the tools it hosts.

Within six months, you will have:

• Successfully led the team to deliver a prototype or initial release of the Deployment Platform that supports the core modernization toolset.
• Designed and implemented a streamlined process for platform updates that works within client security constraints.
• Established a precise rhythm of execution and served as a role model for a high-performing team.

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the deployment and operations domain at MongoDB.
• Delivered a stable, production-ready platform that allows our Field Engineering teams to deploy tools without significant delays or approvals.
• Played a crucial role in helping recruiting and growing the engineering team.

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

The IT SaaS Engineering Team plays a critical role in optimizing MongoDB sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce, the team ensures that business users have the tools, automation, security, and governance needed to effectively manage customer relationships, support operational processes, and drive business growth.

With deep expertise in Salesforce development, platform governance, automation, and system operations, the team continuously enhances the CRM platform to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions.

Role Overview

We are looking for a highly capable Senior Salesforce Engineer to design, build, and maintain scalable CRM solutions that support MongoDB’s Sales organization. This role combines strong hands-on Salesforce development, solution design, cross-functional collaboration, and a modern engineering mindset to deliver reliable, maintainable, and high-quality solutions across the core Salesforce platform.

What you’ll do

• Design, build, and maintain scalable Salesforce solutions across the core CRM platform, including custom development, automation, and integrations
• Partner with business stakeholders, program managers, and technical teams to understand requirements and translate them into secure, maintainable, and scalable technical solutions
• Own delivery across the full solution lifecycle, including design, development, testing, deployment, documentation, and production support
• Collaborate closely with globally distributed engineering teams to deliver reliable, secure, and well-governed solutions in an Agile environment
• Drive strong engineering practices across code quality, documentation, release management, and platform governance
• Identify opportunities to improve system performance, simplify architecture, reduce technical debt, and strengthen the overall Salesforce operating model
• Troubleshoot complex technical and production issues and deliver sustainable, long-term fixes
• Stay current with Salesforce platform capabilities, engineering best practices, and emerging technologies, and apply them thoughtfully to improve delivery quality
• Leverage AI-powered engineering tools such as GitHub Copilot, Agentforce, Claude Code, Cursor, and similar capabilities to improve productivity, code quality, troubleshooting and documentation, while using sound judgment around security, privacy, and responsible AI usage

Responsibilities

• Develop, test, document, and deploy high-quality Salesforce solutions aligned with business needs and engineering best practices
• Support enhancements, break/fix issues, and ongoing maintenance across Salesforce applications and related integrations
• Investigate technical and integration issues and work closely with development, operations, admin, and business teams to resolve them effectively
• Communicate clearly with stakeholders and teammates on delivery status, technical challenges, and solution options
• Manage multiple priorities effectively while ensuring high-quality and timely delivery
• Research new platform capabilities, prototypes, and engineering approaches that can improve the Salesforce ecosystem
• Provide mentorship and technical guidance to junior engineers and administrators where needed
• Build strong working relationships across teams and contribute positively to a culture of ownership, collaboration, and continuous improvement

Minimum Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
• 9+ years of experience in Salesforce development and enterprise application engineering
• Strong hands-on experience with Apex, Lightning Web Components (LWC), JavaScript, Flows, SOQL, APIs, and Salesforce platform customization
• Strong understanding of Salesforce architecture, governor limits, declarative automation, integration patterns, and scalable solution design
• Experience with CI/CD, deployment processes, code refactoring, and performance optimization in Salesforce environments
• Experience integrating Salesforce with enterprise systems using APIs, ETL tools, and automation platforms
• Salesforce Platform Developer II certification strongly preferred; additional certifications such as JavaScript Developer, Advanced Administrator, Application Architect, or System Architect are a plus
• Good understanding of AI-powered and agentic development tools such as Cursor, Claude Code, Agentforce, and similar platforms, with the ability to use them effectively to improve productivity, troubleshooting, documentation, and solution delivery

Success Measures

• In 3 months, you will: Develop a strong understanding of MongoDB’s Salesforce ecosystem, business processes, and current implementations by working closely with senior engineers and stakeholders
• In 6 months, you will: Successfully deliver one or more critical Salesforce initiatives and establish yourself as a trusted technical contributor within the Sales Apps team
• In 12 months, you will: Become a go-to engineer for key Salesforce solutions, build strong cross-functional partnerships, and contribute meaningfully to the scalability, quality, and long-term evolution of the CRM platform

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Insert Req ID: 1273405390

Ensono Client Technical Advisors (CTA) are seasoned solutions architects focused on pushing forward technical innovation and transformation within the solution sets we provide. They work closely with our clients to understand their business drivers and corporate objectives. Through collaboration with internal technologists, CTAs create solutions that drive value for our clients. They also provide client and industry feedback to Ensono’s internal teams, which allows us to adjust our product and technology roadmaps. 

The CTA team works alongside and supports the Sales, Consulting and Service Management organizations to service large global clients. They work with the clients’ business and technical teams to create reference architecture frameworks and templates. They lead the effort to execute multi-year transformation initiatives in the clients’ environments. CTAs also help the account teams identify, pursue and close strategic business development opportunities while driving add-on business within existing accounts. As part of this, Client Technical Advisors must be effective in fostering executive level relationships with an emphasis on client satisfaction. Throughout the engagement process, from discovery to solution implementation, a CTA must work with and often lead multi-disciplinary teams. Ultimately, he/she remains of the owner of the technical design of a client’s environment.

Responsibilities:

• Collaborate with their counterparts in the Sales and Consulting organizations to create Pursuit, Solution, and Sales strategies for large existing global clients
• Conduct discovery and assessment workshops (often in collaboration with resources from consulting, operations and product teams) to help drive further penetration of the client account
• Develop and document solutions that meet client’s (technical and business) requirements and allow them to adapt to changing industry needs with a focus on transformation and re-platform efforts
• Conduct solution development sessions and present technical solutions and business cases to a wide variety of audience
• Gain executive buy in for complex solutions by engaging in executive and senior-level technology discussions
• Gain clients’ confidence as a trusted advisor by offering consultation and recommendations drawing from technology know-how and past experiences
• Align and partner with Product Management to help drive appropriate product enhancements and changes to technology roadmap
• Aid in driving stability and innovation within the client’s current and future state and create solutions based on client requirements and available product offerings

Requirements:

• Bachelor’s degree in engineering or computer sciences
• 7+ years of experience as an architect or equivalent in the hosting and network space (preferably with a service provider)
• Proven experience in managing projects through the entire project lifecycle. This includes managing multi-phase/multi-dimensional/multi-resource projects to conclusion while maintaining high client satisfaction
• Understanding of (and experience with) public cloud platforms (AWS, Azure) and hybrid solutions preferred
• Well versed in the hosting technology landscape including compute, storage, backup, network, security, DR, DevOps and IT governance
• Good understanding of the sales process for large and complex opportunities including ITO
• Resourceful and confident in Crisis and Expectation management and confident under pressure
• Has experience in technical documentation to capture solution components in a timely manner while ensuring acceptable level of detail, data integrity, and accountability
• Ability to share knowledge and expertise among various organizations within the company and to facilitate teamwork among those organizations to better serve our clients
• Ability to work in a team environment and demonstrate strong problem solving skills
• Proficient with common office applications such as MS Outlook, MS Excel, PowerPoint and MS Visio
• Excellent organizational, interpersonal, and communication skills (oral, written and presentation)

Ensono Client Technical Advisors (CTA) are seasoned solutions architects focused on pushing forward technical innovation and transformation within the solution sets we provide. They work closely with our clients to understand their business drivers and corporate objectives. Through collaboration with internal technologists, CTAs create solutions that drive value for our clients. They also provide client and industry feedback to Ensono’s internal teams, which allows us to adjust our product and technology roadmaps. 

The CTA team works alongside and supports the Sales, Consulting and Service Management organizations to service large global clients. They work with the clients’ business and technical teams to create reference architecture frameworks and templates. They lead the effort to execute multi-year transformation initiatives in the clients’ environments. CTAs also help the account teams identify, pursue and close strategic business development opportunities while driving add-on business within existing accounts. As part of this, Client Technical Advisors must be effective in fostering executive level relationships with an emphasis on client satisfaction. Throughout the engagement process, from discovery to solution implementation, a CTA must work with and often lead multi-disciplinary teams. Ultimately, he/she remains of the owner of the technical design of a client’s environment.

Responsibilities:

• Collaborate with their counterparts in the Sales and Consulting organizations to create Pursuit, Solution, and Sales strategies for large existing global clients
• Conduct discovery and assessment workshops (often in collaboration with resources from consulting, operations and product teams) to help drive further penetration of the client account
• Develop and document solutions that meet client’s (technical and business) requirements and allow them to adapt to changing industry needs with a focus on transformation and re-platform efforts
• Conduct solution development sessions and present technical solutions and business cases to a wide variety of audience
• Gain executive buy in for complex solutions by engaging in executive and senior-level technology discussions
• Gain clients’ confidence as a trusted advisor by offering consultation and recommendations drawing from technology know-how and past experiences
• Align and partner with Product Management to help drive appropriate product enhancements and changes to technology roadmap
• Aid in driving stability and innovation within the client’s current and future state and create solutions based on client requirements and available product offerings

Requirements:

• Bachelor’s degree in engineering or computer sciences
• 7+ years of experience as an architect or equivalent in the hosting and network space (preferably with a service provider)
• Proven experience in managing projects through the entire project lifecycle. This includes managing multi-phase/multi-dimensional/multi-resource projects to conclusion while maintaining high client satisfaction
• Understanding of (and experience with) public cloud platforms (AWS, Azure) and hybrid solutions preferred
• Well versed in the hosting technology landscape including compute, storage, backup, network, security, DR, DevOps and IT governance
• Good understanding of the sales process for large and complex opportunities including ITO
• Resourceful and confident in Crisis and Expectation management and confident under pressure
• Has experience in technical documentation to capture solution components in a timely manner while ensuring acceptable level of detail, data integrity, and accountability
• Ability to share knowledge and expertise among various organizations within the company and to facilitate teamwork among those organizations to better serve our clients
• Ability to work in a team environment and demonstrate strong problem solving skills
• Proficient with common office applications such as MS Outlook, MS Excel, PowerPoint and MS Visio
• Excellent organizational, interpersonal, and communication skills (oral, written and presentation)

Role - Software Engineer III

GHX’s Intelligent Process Automation (IPA) platform eliminates manual, repetitive work and drive operational excellence. This role will focus on developing automation solutions that digitize business documents received via fax or PDF.

You will work with UiPath’s intelligent document understanding, while ensuring the design and implementation are adaptable to future automation platforms. Automation solutions are deployed in AWS Cloud, so cloud familiarity is key. You’ll collaborate closely with senior engineers, business analysts, and product teams to deliver automation that improves accuracy, reduces errors, and boosts productivity.

Key Responsibilities

Automation Development

• Analyze and understand the business processes to suggest process improvements and suggest IPA solutions around them.
• Build new automated workflows or support existing RPA/IPA workflows 
• Implement document processing pipelines using OCR, classification, and data extraction techniques.
• Develop platform-agnostic solutions that can be migrated to new tools if required.
• Integrate bots with enterprise systems via APIs or other interfaces.
• Follow established coding standards, testing protocols, and deployment guidelines.

Cloud & Infrastructure

• Deploy and maintain automation solutions in AWS environments.
• Utilize AWS services like EC2, S3, Lambda, DynamoDB, SQS/SNS for automation workflows.
• Monitor bot execution, troubleshoot failures, and optimize performance.

Collaboration

• Work with business analysts, solution architect and support engineers to understand requirements/automation failures and translate them into automation designs.
• Collaborate with QA teams to validate workflows before deployment.
• Participate in Agile ceremonies and provide input on estimation and planning.

Continuous Improvement

• Identify opportunities to enhance process efficiency and reduce errors.
• Contribute to reusable components, libraries, and best practices for the IPA team.
• Stay updated on new automation technologies and cloud capabilities.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5-7 years of software development or automation experience, with at least 4 years in UiPath or similar Automation tools
• Experience in document processing and intelligent data extraction workflows.
• Familiarity with AWS services for application hosting and automation deployment.
• Experience with API integrations and scripting/programming in Python, C#, or JavaScript.

Preferred Qualifications

• UiPath Advanced Developer certification (or equivalent in other platforms).
• Experience with OCR/IDP tools like ABBYY, UiPath Document Understanding, or AWS Textract.
• Experience with UiPath’s AICenter and Orchestrator
• Familiarity with version control (Git) and CI/CD practices.
• Familiarity with OpenSearch and ability to create dashboards
• Exposure to Agile/Scrum environments.

Soft Skills

• Proactive problem solver with a strong ownership mindset.
• Comfortable working in fast-paced, evolving technology environments.
• Strong Communication, Presentation and Collaboration skills.
• Attention to detail and a commitment to delivering quality solutions.

Location: Hyderabad
Job Type: Full-time
Experience: 5-7 years (with at least 4 years in any RPA platform)

Site Reliability Engineer (SRE)

Position Summary

The Site Reliability Engineer (SRE) will be a hands-on contributor within the Site Reliability Engineering Center of Excellence (CoE), responsible for building monitoring and observability solutions, troubleshooting production issues, and participating in 24x7 on-call operations.

This role focuses on the execution of reliability practices, implementing observability tooling, improving MTTR/MTTD through automation, and ensuring production systems are resilient, observable, and performant. The SRE will collaborate closely with Principal and Senior Staff SREs, adopting best practices and frameworks defined by the CoE while directly contributing to enterprise reliability goals. This role reports to the Sr. Manager, SRE.

Key Responsibilities

Execution & CoE Alignment

· Implement SRE frameworks, best practices, and playbooks provided by the CoE.

· Act as a hands-on engineer, contributing to observability, reliability, and incident response initiatives.

· Partner with senior SREs and leadership to maintain consistency in monitoring and incident processes.

· Contribute to automation projects that improve reliability and reduce manual work.

Observability & Monitoring

· Build and maintain monitoring solutions with New Relic, Datadog, Prometheus, Grafana, CloudWatch, OpenTelemetry, Graylog.

· Create and refine dashboards, metrics, and alerts for proactive anomaly detection.

· Extend observability coverage across infrastructure, applications, APIs, and databases.

Reliability Engineering & Automation

· Implement SLIs, SLOs, SLAs, and error budgets in partnership with product and platform teams.

· Contribute to reducing MTTD and MTTR through improved instrumentation and automation.

· Participate in capacity planning, resiliency testing, and scaling reviews.

· Support chaos engineering and reliability validation activities.

Incident & Problem Management

· Participate in incident response, including on-call rotations for 24x7 coverage.

· Assist with root cause analysis (RCA) and implement corrective actions.

· Ensure alignment with ITSM processes for incident, problem, and change management.

· Contribute to playbooks and runbooks to strengthen on-call readiness.

Collaboration & Knowledge Sharing

· Collaborate with Engineering, Product, Security, Cloud, and DevSecOps teams to embed reliability practices.

· Provide input on instrumentation, monitoring hooks, and operational readiness for services.

· Work with DBAs and platform teams on database observability and performance optimization.

· Share knowledge within the SRE team and adopt practices from Staff and Principal SREs.

Qualifications & Experience

Required

· 7+ years in SRE, Operations, or Infrastructure Engineering.

· Strong hands-on experience with monitoring and observability platforms.

· Experience with tools such as New Relic, Datadog, Prometheus, Grafana, CloudWatch, OpenTelemetry, Graylog.

· Proven experience in incident response, troubleshooting production issues, and improving MTTR/MTTD.

· Good knowledge of SLIs, SLOs, SLAs, and error budgets.

· Hands-on experience with AWS services (EC2, ECS, EKS, networking, scaling groups).

· Proficiency in containers & Kubernetes (Docker, EKS).

· Scripting/programming in Python, Go, or shell scripting.

· Understanding of networking, distributed systems, and high-availability architectures.

· Exposure to ITIL/ITSM processes.

Preferred

· Experience in SaaS or healthcare environments.

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

· Familiarity with chaos engineering and resiliency testing.

· Certifications: AWS Solutions Architect / DevOps Engineer, CKA/CKA

What you will do:

You'll work on end-to-end projects in a full-stack role, aligned with your skills and career goals. As a part of your job, you will be charged with designing, researching, developing, and testing the functional and non-functional areas. 

We design and implement new projects while constantly making sure we support large scales of data and traffic, backward and upward compatibility, and more.

Requirements

• Min 6+ years of experience in full-stack development using JavaScript and TypeScript
• Strong experience with modern web frameworks, particularly Vue.js and Nest.Js
• Experience with AngularJS or React.js is also acceptable
• Extensive hands-on experience with AWS cloud technologies
• Solid backend development experience using Node.js
• Demonstrated proficiency in designing, developing, and deploying microservices-based applications. Ability to architect and implement scalable, loosely coupled, and maintainable microservices.
• Having experience in implementing CI/CD pipelines for automated testing, building, and deploying applications.
• Ability to lead end-to-end projects, working with other team members across the world
• Deep understanding of system architecture , and distributed systems
• Enjoy working in a fast-paced environment
• Able to work collaboratively within different teams and with differing levels of seniority

What you will bring:

• Work closely with cross-functional teams such as Development, Operations, and Product Management to ensure seamless integration of new features and services with a focus on reliability, scalability, and performance
• Experience with back-end technologies
• Good knowledge and understanding of client-side architecture
• Capable of managing time well and working efficiently and independently
• Ability to collaborate with multi-functional teams
• Excellent communication skills

Nice to Have

• Bachelor's or Master's degree in CS or related field/experience

#LI-CK1

What you will do:

You'll work on end-to-end projects in a full-stack role, aligned with your skills and career goals. As a part of your job, you will be charged with designing, researching, developing, and testing the functional and non-functional areas. 

We design and implement new projects while constantly making sure we support large scales of data and traffic, backward and upward compatibility, and more.

Requirements

• Min 3 years of experience in full-stack development using JavaScript, TypeScript, and Java
• Strong experience with modern web frameworks, particularly Vue.js
• Experience with AngularJS or React.js is also acceptable
• Extensive hands-on experience with AWS cloud technologies
• Solid backend development experience using Node.js
• Demonstrated proficiency in designing, developing, and deploying microservices-based applications. Ability to architect and implement scalable, loosely coupled, and maintainable microservices.
• Having experience in implementing CI/CD pipelines for automated testing, building, and deploying applications.
• Ability to lead end-to-end projects, working with other team members across the world
• Deep understanding of system architecture , and distributed systems
• Enjoy working in a fast-paced environment
• Able to work collaboratively within different teams and with differing levels of seniority

What you will bring:

• Work closely with cross-functional teams such as Development, Operations, and Product Management to ensure seamless integration of new features and services with a focus on reliability, scalability, and performance
• Experience with back-end technologies
• Good knowledge and understanding of client-side architecture
• Capable of managing time well and working efficiently and independently
• Ability to collaborate with multi-functional teams
• Excellent communication skills

Nice to Have

• Bachelor's or Master's degree in CS or related field/experience

#LI-CK1

The role

Nebius is looking for a Senior Salesforce Administrator. As a Senior Salesforce Administrator in our hyper-growth environment, you will play a foundational role in building and scaling our CRM ecosystem from day one. This is a position where you will not only configure and manage Salesforce, but also analyze business processes, design intelligent workflows, and apply data-driven insights to help teams move faster.

You will partner with Sales, Marketing, Customer Success, Product, and Engineering to architect a next-generation CRM platform that supports rapid scaling, automation-first operations, and AI-driven decision-making. This is an opportunity to shape the backbone systems of a fast-growing AI company—creating a CRM foundation that is flexible, automated, and built for high-velocity go-to-market teams.

You’re welcome to work remote from India.

Your responsibilities will include:

Administration, Configuration & Automation

• Own day-to-day Salesforce administration, including user access, permissions, security controls, page layouts, objects, record types, and data governance.
• Build scalable automation using automation to replace manual processes and enable operational efficiency.
• Work with stakeholders to map business processes, identify gaps, and design technical solutions aligned with the needs of a hyper-growth GTM engine.
• Translate business requirements into clear user stories, functional specs, and structured workflows.
• Analyse CRM usage patterns and funnel metrics to recommend operational and process improvements.
• Use Salesforce reporting and dashboards to surface insights that help leaders make data-backed decisions.
• Maintain documentation of data models, configurations, integrations, and process maps.
• Collaborate with GTM teams to build lead management flows, sales processes, customer lifecycle models, and AI-powered workflow automations.
• Deliver training, onboarding, and ongoing support to ensure strong user adoption across fast-scaling teams.
• Manage data imports/updates, deduplication, and data cleansing initiatives.
• Support integration efforts with GTM systems, marketing automation platforms, billing systems, and internal tools.
• Troubleshoot issues proactively and act as the go-to expert for platform reliability and performance.

We expect you to have: 

• 4–7+ years in Salesforce Administration with Enterprise CRM experience.
• Strong expertise in Salesforce configuration, automation (Flows), data modelling, and security.
• Demonstrated experience acting in requirements gathering, process design, workflow mapping, and reporting.
• Experience supporting high-velocity GTM teams (Sales, Marketing, Customer Success).
• Strong analytical skills with the ability to translate raw CRM data into insights and actionable recommendations.
• Familiarity with integrations, connected apps, APIs, and middleware (no coding required, but technical comfort is essential).
• Experience with lead routing, funnel analytics, lifecycle automation, or revenue operations tooling is highly valued.
• Excellent communication skills with the ability to influence stakeholders in a fast-changing, high-pressure environment.
• Salesforce certifications such as Admin, Advanced Admin, or Platform App Builder preferred.

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.

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.

Senior Database Solution Architect - MS SQL  (US/EST timezone)

Job Overview

As a Senior Database Solutions Architect, you will serve as a pre-sales specialist, supporting the broader sales organization with deep technical knowledge across database workloads. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solution Architect will have an active role in providing real world feedback to product teams to enhance the product, testing new features before they are released, and championing new features within the sales team. The Solutions Architect provides both immediate and long term impact with their technical knowledge and position of influence with prospects and customers.

Key Responsibilities

• Serve as a subject matter expert on Rubrik’s data protection and data security solutions, focussed on database workloads deployed either on-prem or in the cloud.
• Act as a trusted advisor on assigned opportunities, aligning Rubrik’s technology and roadmap with customer business objectives.
• Lead impactful product demonstrations, technical workshops, and solution presentations tailored for technical and executive-level audiences.
• Support customers based in North America; must be comfortable working in the US Eastern Time Zone (ET) timings: 5:30 PM to 2:30 AM
• Contribute to high-quality proposals, white papers, and responses to RFPs/RFIs.
• Collaborate with presales teams to design, execute, and troubleshoot proof-of-concepts (POCs), ensuring successful outcomes.
• Proactively identify technical challenges and architect creative solutions to overcome sales barriers.
• Translate complex customer requirements into clear, actionable technical strategies.
• Stay abreast of industry trends in data protection, security, database and cloud technologies, effectively positioning Rubrik’s solutions.
• Evangelize Rubrik’s offerings and clearly communicate strategic direction and product roadmap aligned with customer needs.
• Work closely with Product Management and Engineering to influence feature development based on customer feedback and market demands.
• Provide competitive intelligence and actionable insights from customer engagements to internal stakeholders.'

Qualifications

• 10+ years of successful experience in customer-facing technical sales or consulting roles focused on enterprise database technologies and cloud.
• Bachelor’s Degree in Computer Science, Engineering, or equivalent experience.
• Core expertise: Deep technical proficiency in the following areas:
• MS SQL Server: Architecting and managing large scale high-availability and disaster recovery (HADR) solutions. Including extensive experience with Always On Availability Groups (AG), Failover Cluster Instances (FCI), and log shipping.
• Cloud DBs: Design and management of Azure SQL, Azure SQL MI or Amazon RDS/Aurora or GCP CloudSQL
• Secondary Competencies: Proficiency or working knowledge of
• NoSQL/Distributed: MongoDB, Apache Cassandra.
• Relational DBs: Oracle, IBM DB2, Informix, PostgreSQL.
• Containerized DBs
• Proficiency in scripting languages such as Python, PowerShell, Go, or JavaScript.
• Excellent problem-solving capabilities, able to troubleshoot complex technical issues and deliver scalable solutions.
• Experience conducting benchmarks and performance testing on enterprise systems (preferred).
• Demonstrated sales acumen, capable of articulating technical value to C-level executives and technical audiences including database administrators.
• Strong cross-functional collaboration skills with sales, engineering, and product management.
• Exceptional communication skills, including compelling presentations and clear, concise writing.
• Proven experience with data center hardware/software, cloud platforms, data security solutions, IaaS, PaaS, or hypervisor software.
• Self-motivated and results-driven, comfortable working remotely with a high degree of autonomy.
• Flexible and willing to travel (approximately up to 20%) for client meetings and site visits.
• Work location: Bengaluru, India

About the role

The developer's job is shifting from writing code to directing AI agents, and hiring needs to catch up. HackerRank has shaped how 3000+ companies identify engineering talent, with 30M+ developers assessed on our platform. Chakra is our bet on what the next generation of that looks like: an AI interviewer built for a world where the interview itself has to be as intelligent as the candidates it is evaluating.

Open Problem
An interview that thinks, listens and gets it right every time.

Running an interview is easy. Running a good one is hard.

Chakra is an AI interviewer. It holds a conversation with a candidate, asks follow-up questions, evaluates how they think, and produces a report a hiring manager can actually act on. It is to conduct interviews that are more consistent, more probing, and more fair than most human interviewers manage in practice.

Here is the problem. A great human interviewer can do this. They read the candidate. They push on the right things. They know when an answer is shallow and when it just sounds shallow. Getting a model to do that reliably is genuinely difficult. Not because the technology cannot hold a conversation. It can. The gap is in judgment. Knowing what to probe. Knowing what the answer actually reveals about the candidate. Knowing when to move on.

Now do that 200,000 times. With candidates who speak differently, think differently, and approach problems differently. Without the model drifting. Without it being gamed. Without every report reading like it was written by the same template.

That is where the field currently falls short. Closing that gap is the work.

What you'll do

• Architect and develop Chakra end to end: the agent design, conversation management, real-time response evaluation, scoring methodology, and report generation.
• Build the systems that ensure interview consistency at scale. Not just model capability, but the infrastructure that makes the 200,000th interview as coherent as the first.
• Design evaluation and benchmarking pipelines that measure interview quality, candidate experience consistency, and report defensibility.
• Build fine-tuning and RLHF workflows to push model judgment past what off-the-shelf models deliver for this specific task.
• Own the quality bar. Define what a good interview looks like, instrument how well the system meets that bar, and close the gap systematically.
• Work across the full stack: data pipelines, model serving, latency constraints, and the product experience the candidate actually encounters.

Who you are

• You have built and shipped agentic or conversational AI systems in production, not just prototypes.
• You have a strong intuition for where LLM behavior breaks down under real-world conditions and how to address it systematically.
• You think in systems. The conversation architecture, the evaluation model, the serving infrastructure, and the candidate experience are one problem to you.
• You care about the quality bar at the level of a user who depends on the output, not just a researcher measuring aggregate metrics.

Even better if you have

• Experience building multi-turn conversational agents or interview-style AI systems.
• Worked with RLHF, Constitutional AI, or preference-based fine-tuning methods.
• Background in dialogue systems, conversational evaluation, or rubric-based scoring.
• Publications or contributions in agentic AI, LLM reliability, or evaluation of generative systems.

You will thrive in this role if

• You are energized by the full scope of a hard product problem, from model architecture through the conversation a candidate actually has. 
• You hold the product bar as high as the technical bar. You want to build something that works extraordinarily well for every single person who uses it.

As a Senior Staff Software Engineer for the Agent Platform, you will be the technical visionary responsible for evolving our core Endpoint services into a world-class, high-scale platform. You will architect and lead the development of backend services that manage, update, and monitor tens of millions of agents globally, ensuring the foundation of SentinelOne’s security remains resilient and scalable. Your leadership will bridge the gap between long-term technical strategy and high-velocity execution, influencing the architecture of our entire SaaS ecosystem.

What Will You Do? 

Primary responsibilities include:

• Architectural Vision: Define and drive the long-term technical roadmap for the Agent Platform, transitioning legacy services into a modern, Java-based microservices architecture while maintaining high-performance Go-based systems.
• System Design at Scale: Lead the design and implementation of highly available, cloud-native services (gateways, caching, fleet management) that process billions of events daily and support the world’s largest enterprises.
• Technical Leadership & Influence: Act as a key stakeholder in cross-organizational architectural reviews, ensuring the Agent Platform provides the necessary extensibility and reliability for other product teams to build upon.
• Operational Excellence: Drive engineering best practices across the group, including advanced performance optimization, deep health reporting, and automated lifecycle management of the agent fleet.
• Mentorship & Growth: Elevate the engineering bar by mentoring Staff and Senior engineers, fostering a culture of technical excellence, accountability, and proactive problem-solving.

What Skills and Knowledge Will You Bring? 

Ideal candidates will have:

• Extensive Backend Expertise: 12+ years of professional experience in backend development, with deep production-level mastery of both Golang and Java (transitioning to Java for new services).
• Platform Thinking: Proven track record of building and scaling platforms (not just features), with a focus on API design (gRPC, REST), multi-tenancy, and shared infrastructure services.
• Data & Distributed Systems: Expert-level knowledge of RDBMS (PostgreSQL), query optimization, and experience with high-throughput messaging systems like Kafka and distributed caches (Redis).
• Cloud-Native Proficiency: Deep experience with AWS/GCP, Kubernetes, Docker, and modern CI/CD patterns (ArgoCD, GitHub Actions) in a hyper-scale SaaS environment.
• Strategic Communication: Ability to articulate complex technical trade-offs to both technical and non-technical stakeholders, including Product Management, Directors, and VPs.
• Cybersecurity Context: (Bonus) Familiarity with security event processing or endpoint management in a high-growth cybersecurity context.

Why SentinelOne? 

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

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

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

Role Title: Automation & Solution Architect (GCB 4)

Function: Finance System Operations

Role Description:

Senior technical lead for Finance EUC automation scale-up. Accountable for end-to-end technical delivery across demand intake, requirements analysis, build & test, production deployment and RTB change management. Provides consultative input during opportunity scoping, ensuring solutions are feasible and aligned to IT-governed platforms (e.g., Alteryx/ADM) and established controls/guardrails. Leads technical documentation, testing evidence aligned to agreed closure criteria, and supports controlled releases. Partners with Finance Domain BA, POD Lead and platform support to ensure stable, supportable automation.

Skills / Knowledge / Experience:

• Lead & Design automation for EUC (End User Computing) remediation, using AI workflow automation to reduce operational risk, improve control compliance, and accelerate remediation at scale.
• Act as Solution Architect for the end-to-end remediation across Python & Alteryx / FRAME platform, aligning delivery to risk, control, and technology standards.
• Knowledge of Finance process landscape & core systems
• Identify and prioritize EUC remediation opportunities and translate them into an automation roadmap
• Design and deliver AI-assisted remediation capabilities with prompt engineering
• Build automation pipelines to streamline discovery, assessment, remediation tracking, and evidence generation.
• Define human-in-the-loop operating model for AI outputs (review, approval, exception handling) to ensure accountable decision-making
• Familiarity with Python, IT-managed automation platforms e.g., Alteryx
• Experienced in managing end-to-end Testing lifecycle i.e., Unit Testing, SIT, UAT
• Strong in Stakeholder management
• Agile Scrum Master, SAFe, and Project Manager skills set are desirable

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you

So, what’s the role all about?

We are seeking a visionary Software Architect to serve as a technical leader for our engineering teams. In this role, you will bridge the gap between high-level strategy and hands-on execution, managing architectural subdomains within a large-scale platform. You will be responsible for guiding engineers toward correct technical paths, making high-stakes decisions, and relentlessly driving innovation and AI-first transformation across the organization.

How will you make an impact?

• Technical Leadership: Lead and influence multiple engineering teams, ensuring architectural alignment and high-quality technical decisions across subdomains.
• System Design: Architect resilient, multi-tenant cloud solutions and distributed event-driven systems that scale.
• Stakeholder Management: Collaborate with product leaders, directors, and cross-functional teams to navigate complex requirements in a multi-domain environment.
• API & Integration Strategy: Define robust API management strategies and ensure system resiliency through modern integration patterns.
• AI Integration: Evangelize and implement AI productivity tools (GitHub Copilot, Agents) and oversee the lifecycle of AI-driven applications utilizing LLMs.

Have you got what it takes?

• Total 14+ years and relevant 8+ years’ experience as Software Architect .
• Cloud Expertise: Proven track record of designing and deploying production-grade systems on AWS using a broad range of AWS native services.
• Architectural Depth: Deep experience in Multi-tenant Cloud Architecture, Event-Driven Systems, and Resiliency Patterns  
• Polyglot Mindset: A "right tool for the job" approach, with a willingness to work across various languages and frameworks in an AI-first environment.
• Communication: Exceptional ability to articulate complex technical concepts to both technical and non-technical stakeholders.
• AI/LLM Proficiency: It will be good to have a person with practical understanding of AI project lifecycle specifically using LLMs and the use of AI agents to accelerate development

• Backend: Advanced proficiency in Java and Springboot Framework. Exposure to Node.js will be a significant plus.
• Infrastructure: Hands-on experience with AWS CloudFormation (YAML) and Infrastructure as Code.
• Data: Strong mastery of SQL required
• Big Data exposure to Apache Spark or Big Data processing will be a bonus.
• Frontend: Solid understanding of modern UI frameworks and frontend development principles.
• Tooling: Expert-level use of Jira, GitHub, GitHub Copilot, and Claude Code/other AI agents for productivity
• Testing : good exposure to automation testing and frameworks for unit testing , integration testing , e2e testing, performance testing.

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr.

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID:  10835
Reporting into: Director, Engineering, CX
Role Type: Individual Contributor

THE ROLE

As a Staff Software Engineer  within our Drive Qualification Center of Excellence, you will be the technical architect ensuring the world-class reliability of Everpure™ developed SSDs. You will own the validation strategy for hyperscale and system-level performance, transforming complex NAND and NVMe challenges into seamless, high-performance storage solutions. Collaborating across Firmware, Systems, and Program teams, you will move beyond simple testing to define the mission-critical readiness of the Everpure™ Platform.

WHAT YOU’LL DO

• Architect Validation Strategy: Define and own the end-to-end test strategy for major domains including NAND reliability, PCIe Gen6, and OCP compliance, establishing the entry/exit criteria that guarantee product maturity.

• Lead Technical Innovation: Design and implement advanced validation suites and automation frameworks—integrating Everpure™ HYVE-based tools with Jenkins CI pipelines—to scale testing across global hyperscale customers.

• Drive Complex Debugging: Act as the lead investigator for system-level failures, performing deep-dive forensics on NVMe/OCP logs and telemetry to identify root causes and verify high-impact firmware fixes.

• Influence Product Readiness: Represent the Drive Qualification team in cross-functional forums, providing data-driven insights to FW release councils and quality reviews to determine launch risks and coverage.

WHAT YOU BRING

• Storage & Protocol Expertise: Extensive experience in SSD or firmware validation with deep technical mastery of NVMe, PCIe protocols, and OCP specifications, specifically regarding power-loss robustness and data integrity.

• Systems Engineering & Python Mastery: Expert-level Python skills for building modular, maintainable automation frameworks and experience managing large shared codebases within a Linux-heavy CI/CD environment.

• Technical Leadership & Impact: A proven history of leading complex validation projects through the full lifecycle (from ES to GA) and the ability to define success metrics using data analytics platforms like Snowflake or Tableau.

• NAND Fundamentals: Comprehensive understanding of NAND policy and reliability, including P/E cycling, wear-out, and read-disturb behavior under enterprise-grade stress.

• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

• Design, deploy, and scale large-scale ML and data processing pipelines across cloud infrastructure.
• Build systems to ingest, process, and serve 250,000+ hours of multimodal data (video, audio, metadata).
• Architect and optimize GPU-based compute environments (e.g., NVIDIA Tesla clusters) for distributed training and inference.
• Develop high-throughput backend systems for video ingestion from desktop and mobile platforms.
• Implement distributed processing workflows, including job scheduling, fault tolerance, and resource allocation.
• Design and build human-in-the-loop and automated annotation systems to ensure data quality and scalability.
• Translate ML and multimodal research into scalable, production-grade cloud architectures.
• Optimize pipelines for performance, reliability, and cost efficiency across compute, storage, and networking layers.
• Collaborate with ML, data, and engineering teams to deliver end-to-end data workflows.

• 5+ years of experience in data engineering, ML pipelines, or distributed systems.
• Strong experience building scalable data pipelines for large datasets (video/audio preferred).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Experience working with GPU-based environments and distributed computing.
• Strong programming skills in Python, Scala, or similar languages.
• Experience with data processing frameworks (Spark, Ray, Kafka, Airflow, or similar).
• Understanding of ML workflows, training pipelines, and inference systems.
• Experience designing fault-tolerant, high-availability systems.
• Strong knowledge of data storage systems (data lakes, object storage, distributed file systems).
• Ability to handle high-throughput, large-scale data ingestion and processing.

• Experience with multimodal AI (video, audio, NLP) systems.
• Familiarity with annotation tools and data labeling workflows.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Knowledge of cost optimization strategies for large-scale cloud workloads.

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. **

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.

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Staff Software Engineer on this team, you'll shape the foundation others build on: from the LLM Proxy that routes all internal AI traffic, to autonomous agents that participate directly in the software development lifecycle. If you want to work at the frontier of AI infrastructure and see your work amplify hundreds of engineers across a fast-growing company, this is the role.

A day in the life (Responsibilities)

• Design, build, and ship core AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines powering Toast's internal AI ecosystem
• Architect and deliver autonomous agents that participate in the SDLC, including the AI Review GitHub App and Developer Platform MCP integrations
• Build on and help maintain the internal plugin marketplace, developing plugins that encode Toast's architectural standards, PR patterns, and quality practices directly into AI assistant behavior
• Lead technical design and implementation of MCP (Model Context Protocol) services and no-code service templates that accelerate AI-powered development across Toast
• Drive adoption of agentic development practices through tooling, internal evangelism, and hands-on enablement across engineering teams
• Mentor engineers through code reviews, architecture discussions, and pairing sessions
• Partner with product and platform teams to define and expand the AI Foundations roadmap

What you'll need to thrive (Requirements)

• 8+ years of experience designing and implementing scalable backend services
• Strong foundation in Java, Kotlin, or another object-oriented language, with experience building scalable backend services
• Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
• Deep familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and the ability to extend them through custom plugins, skills, or hooks
• Hands-on experience with MCP (Model Context Protocol), tool use patterns, or agentic frameworks
• Strong prompt engineering skills and intuition for how LLM behavior changes with context, instructions, and tool definitions
• Proven track record of technical leadership: influencing architecture decisions, setting quality standards, and mentoring peers
• Experience with distributed systems, API design, and cloud-native infrastructure
• Strong customer empathy and the ability to translate developer pain points into platform solutions

What will help you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms, internal tooling, or API gateways
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

This is a hybrid role with 2 days per week in the Bengaluru office

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:

WPP is a creative transformation company, helping clients create growth by combining technology and creativity. As one of the world's largest marketing and advertising services organizations, we are committed to driving innovation and operational excellence across our vast global network.

You will be joining the Automation Operations Centre within WPP's Enterprise Technology, Automation & AI department. This is a pivotal time for us as we're building a dedicated, in-house team to deliver, manage, monitor, and optimize our growing portfolio of automation solutions. This team is at the forefront of our digital transformation, ensuring the seamless operation and continuous improvement of critical automation capabilities across WPP globally

You will play a crucial role in solution delivery and day-to-day technology management of the Global Automation Operations Centre (AOC) program. Reporting to the AAI Operations Director and AAI Product Lead, you will lead the architecture, standards, and advanced development requirements for our global automation portfolio. Alongside AAI Leadership, you will guide a crew of 6-10 developers to ensure the release of high-quality automation products on time and within budget.

The AOC is chartered to develop and delivery automation products, support global automation products or projects delivered by Automation delivery teams from around WPP. Our support apparatus gives those teams confidence and freedom to hand over their existing successes and continue innovating.

Are you a visionary technical leader with a deep mastery of the Microsoft Power Platform and a passion for engineering excellence? We are looking for an Automation Engineering Lead to drive our technical strategy and architectural standards. In this senior role, you will be responsible for conducting research spikes, providing technical guidance to development teams, and ensuring that our global automation suite is built on a foundation of robust, scalable, and maintainable components. You will combine your extensive experience from the D365/Dataverse era with modern ALM practices to keep our global operations at the cutting edge of AI and automation.

What you'll be doing:

Automation Engineering Lead (Engineering Excellence + AI-Driven Automation) 

We are looking for an experienced Automation Engineering Lead who combines a complete view across multiple engineering technology streams with a strong background in automation and AI-driven engineering practices across modern technology stacks. 

This is not a single-stack or platform-specific role. 

You will act as an enterprise engineering leader, responsible for designing scalable, high-performance solutions by evaluating the right engineering approach across diverse technology streams spanning APIs, backend services, modern frontends, cloud platforms, deployment architecture, and AI/ML capabilities. 

You will play a critical role in shaping engineering strategy, establishing end-to-end engineering processes, guiding engineering teams, and ensuring solutions are fit-for-purpose, scalable, and future-ready. 

 What You’ll Be Doing 

Solution Architecture & Technology Decisioning 

• Own end-to-end architecture for automation use cases across the enterprise  

• Evaluate and recommend the right approach across:  

• Cloud-native engineering (microservices, serverless, container platforms)  

• Custom engineering (APIs, backend services, UI frameworks)  

• AI-augmented automation combining ML services, LLMs, and intelligent workflows  

• Make informed trade-offs between build vs buy, custom vs platform, and AI-driven vs deterministic approaches based on scalability, cost, and maintainability  

• Act as a key decision-maker on the right technology stream and tooling for each engineering problem  

• Knowledge in Power Platform (Power Apps, Power Automate, Dataverse) 

 Architectural Governance 

• Define and enforce global architecture standards, design patterns, and best practices  

• Establish reusable engineering frameworks and AI-driven automation accelerators across teams  

• Ensure consistency, scalability, and maintainability across implementations  

 Technical Leadership 

• Lead and mentor a team of 6–10 engineers  

• Provide hands-on guidance, solution reviews, and architectural oversight  

• Drive engineering excellence and a culture of continuous improvement  

 Advanced & Hybrid Development 

• Lead complex implementations involving:  

• Custom connectors and API integrations  

• AI/ML model integration and intelligent automation patterns  

• Backend services (.NET / Java / Node.js / Python) where required  

• Handle research spikes and evaluate new tools, frameworks, and capabilities  

 Integration & Data Architecture 

• Design robust integration solutions using:  

• REST APIs, webhooks, and service-based architectures  

• Event-driven and asynchronous processing patterns  

• Work with structured and unstructured data across:  

• Cloud data platforms (Azure Data Lake, BigQuery, Snowflake, etc.)  

• SQL / external data systems  

• Dataverse 

• Optimize performance, scalability, and reliability of automation workflows  

 ALM & DevOps Strategy 

• Own and mature end-to-end engineering processes including ALM, code quality, and release governance across the organization  

• Implement CI/CD pipelines, deployment automation, and infrastructure-as-code using Azure DevOps, GitHub Actions, Jenkins, or similar  

• Drive adoption of code-first, version-controlled, and AI-assisted development practices  

 Stakeholder Collaboration 

• Partner with business and leadership teams to translate requirements into scalable technical solutions  

• Align architecture decisions with business goals, timelines, and budgets  

• Communicate complex technical concepts to both technical and non-technical stakeholders  

 Security, Compliance & Supportability 

• Ensure solutions comply with enterprise security, governance, and data protection policies  

• Design solutions for operational readiness, observability, and smooth handover to support teams  

 What You’ll Need 

Experience 

• 12+ years in software engineering, solution architecture, or enterprise application development  

• Proven track record leading engineering teams across multiple technology streams with a strong background in automation and AI-driven engineering  

• Knowledge in Power platform or Dynamics 365 ecosystem 

 Engineering Process & AI-Automation Expertise 

• Deep expertise in:  

• End-to-end engineering processes (SDLC, code reviews, quality gates, release management) implemented at organizational scale  

• Deployment and technical architecture across cloud and hybrid environments  

• Automation engineering (CI/CD, infrastructure-as-code, test automation, workflow automation)  

• Experience with:  

• Engineering AI workstreams (LLMs, agentic systems, intelligent automation)  

• Applying AI in automation (code generation, automated testing, intelligent code review, copilots)  

• Ability to drive engineering excellence and modernize platforms using AI-augmented approaches  

 Architecture & Engineering Breadth (Critical) 

• Strong experience with API design and REST-based integrations  

• Solid understanding of SQL, data modeling, and performance optimization  

• Hands-on experience with at least one backend technology (.NET / Java / Node.js / Python)  

• Exposure to modern frontend frameworks (React or similar)  

• Understanding of:  

• Microservices and distributed systems  

• Event-driven architecture (queues, messaging, pub/sub)  

• Proven ability to design and deliver solutions across diverse engineering streams with the right deployment and architecture choices  

 DevOps & ALM 

• Experience with CI/CD pipelines and automated deployments  

• Familiarity with Azure DevOps, GitHub Actions, or similar tools  

• Strong understanding of environment strategy, solution segmentation, and release management  

 Leadership & Problem Solving 

• Proven ability to lead and mentor engineering teams  

• Strong architectural thinking and decision-making skills  

• Ability to solve complex, ambiguous technical challenges  

• Excellent communication and stakeholder management skills  

 Nice to Have 

• Experience with Azure services (Functions, Logic Apps, Service Bus, API Management)  

• Knowledge of enterprise integration patterns and iPaaS platforms  

• Hands-on experience embedding LLMs, agents, or copilots into automation and engineering workflows  

 Certifications 

• Certifications in AI/ML, DevOps, or enterprise architecture (TOGAF, SAFe, or equivalent), PL-600: Microsoft Power Platform Solution Architect (preferred)  

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?

#onsite

The Team  

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

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

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

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

Role purpose  

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

How you contribute  

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

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

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

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

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

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

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

Skills, competencies and qualifications  

Required:  

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

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

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

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

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

• Expertise in CI/CD, Containerization and Kubernetes. 

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

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

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

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

Educational qualifications 

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

Desirable:  

• Experience with PHP.  

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

Other requirements  

• This position requires the ability to be On Call.  

Key relationships  

There are no direct reports to this role.  

Key stakeholders include:  

• Service owners and their teams.  

• Technical leadership and senior management, including VPs.  

• Engineering teams.  

• Network and Telecom teams.  

• Customer service teams.  

• Compliance and infosec teams.  
   

Reporting Structure 

• This position reports to the Senior Engineering Manager  

Key Responsibilities

• Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.
• Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.
• Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).
• Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.
• Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.
• Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.
• Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.

Required Qualifications

• Strong understanding or experience leading AI/ML teams in a SaaS or enterprise software environment.
• Deep expertise in time series forecasting and machine learning.
• Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP).
• Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.
• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
• Experience with agentic frameworks and autonomous agent architectures.
• Proficiency in Python and modern software development practices (testing, code review, CI/CD).
• Proven track record of delivering complex technical projects on time with high quality.
• Excellent communication, collaboration, and stakeholder management skills.
• Track record of delivering impactful AI solutions in a fast-paced, agile environment.

Preferred Qualifications

• Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
• Experience with large-scale data processing frameworks like Spark.
• Familiarity with the challenges of applying AI in enterprise planning or financial domains.
• A portfolio of published research or contributions to open-source AI projects.

What Makes This Role Exciting

You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.

SLSQ227R141

Field Engineering, Lakebase Product Specialist

As the Lakebase Product Specialist, you will be defining our technical go to market strategy and driving our application stack adoption in the India region. 

You will be directly working with customers to guide and influence their application architecture and decisions. You will be expected to present, demo and pitch the Lakebase product suite and You will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems.

You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors. You will partner with product managers to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams. You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact. 

You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback.

You have expertise in modern data application architectures and preferably industry domain knowledge. You will bring your in depth knowledge and experience of building production level data applications leveraging different technologies and patterns. You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop.

The impact you will have:

• Lead the vision and strategy for Databricks Lakebase adoption in India
• Develop materials for our GTM team to effectively communicate our value proposition
• Support our field teams in key strategic pursuit opportunities
• Lead a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market
• Act as the thought leader to build confidence and relationships with our customers at the executive level
• Present externally at conferences, events and webinars and publish content to establish our position in the market
• Work with post sales and partners to establish best practices
• Act as a cross-functional representative with Product Management, Product Marketing and Engineering on our go-to-market motion

What we look for:

• 6+ years of experience in application development and familiar with modern database architecture
• Deep technical knowledge with database technologies, e.g. Postgres, MySQL, Oracle, Aurora, RDS, etc.
• Deep technical understanding of the software engineering / data application development practices
• Trusted advisor to technical executives that inform strategic data decisions
• Proven track record of successful pre-sales experience in competitive situations
• Ability to define and executive strategic program cross functionally
• High impact communication internally and externally

What's the Role All About?

The Tech Manager is a senior technical leadership role responsible for driving the design, delivery, and quality of AI-driven and Conversational AI solutions across the NICE CXone ecosystem. With 15+ years of experience, you will lead and mentor a high-performing engineering team, bring deep expertise in AI models, AWS Knowledge Hub, and AWS Cloud, and serve as a key technical authority across cross-functional delivery teams. This role blends hands-on technical depth with strong people management, ensuring both engineering excellence and team growth.

How Will You Make an Impact?

Technical Leadership:

• Define and govern technical standards and best practices for AI and Conversational AI solution delivery.
• Provide hands-on guidance on the design and implementation of integrations using APIs, modern web technologies, and authentication standards.
• Lead the development of proofs of concept (PoCs) and production-ready solution components leveraging AWS Cloud, AWS Knowledge Hub, and AI/ML models.
• Drive prompt engineering, conversational design, and AI orchestration best practices across the team.
• Oversee testing, validation, and go-live activities to ensure solutions meet quality, performance, security, and usability standards.

People Management & Team Development:

• Lead, mentor, and develop a team of engineers — conducting performance reviews, supporting career growth, and fostering a culture of continuous learning.
• Define and uphold engineering standards, coding guidelines, and delivery frameworks across the team.
• Identify skill gaps and build team capability in emerging areas such as Generative AI, AWS services, and enterprise conversational platforms.
• Drive a collaborative, inclusive, and high-accountability team culture.

Technical Problem Solving & Quality:

• Diagnose and resolve complex technical challenges across SaaS applications, cloud environments, AI integrations, and data flows.
• Ensure all implementations meet enterprise-grade standards for quality, scalability, security, and performance.
• Produce and review key documentation including architecture specifications, test strategies, and deployment materials.

Delivery & Process Excellence:

• Drive Agile/Scrum delivery practices including sprint planning, retrospectives, and release management.
• Define and continuously improve engineering processes, documentation standards, and delivery frameworks.
• Align technical roadmap planning with business priorities and stakeholder expectations.
• Manage escalations effectively and maintain strong cross-functional collaboration with Implementation Engineers, Consultants, Project Managers, and Customer Success teams.

Collaboration & Stakeholder Engagement:

• Partner with senior stakeholders, customers, and cross-functional teams to translate business requirements into technical solutions.
• Participate in customer workshops, design reviews, and technical discussions — communicating architecture decisions and implementation strategies with clarity and confidence.
• Maintain transparent and consistent communication across all delivery teams.

Have You Got What It Takes?

Experience & Education:

• Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent work experience.
• 15+ years of professional experience in software engineering or technical delivery roles, with a focus on AI, digital channels, or bot/conversational applications preferred.
• 5+ years in a technical leadership or people management role (Engineering Manager, Tech Lead, or similar).

Technical & Architecture Skills:

• 7+ years of hands-on software development experience, with at least 2–3 years in a tech lead or architect capacity.
• Strong proficiency in modern programming languages such as Java, Python, C#, or JavaScript/TypeScript.
• Deep knowledge of AWS Cloud services and AWS Knowledge Hub; familiarity with Azure or GCP is a plus.
• Proven experience working with AI/ML models, Generative AI frameworks, and enterprise AI orchestration patterns.
• Strong expertise in:
• Web APIs, SOAP, and REST implementations
• Modern authentication standards (OAuth2, OIDC, SAML)
• Browser and web security (CORS, X-Frame Options)
• HTML/CSS and front-end fundamentals
• Prompt engineering and AI integration patterns
• Solid understanding of CI/CD pipelines, DevOps practices, and software architecture principles.
• Proficiency in databases (SQL/NoSQL) and data integration patterns.
• Strong understanding of conversational UX, AI-driven interfaces, and enterprise AI platforms.

Leadership & People Management:

• Demonstrated experience managing and growing engineering teams, including performance management and career development planning.
• Ability to define technical vision, establish engineering standards, and align team deliverables with organisational goals.
• Strong stakeholder management skills, including handling escalations and influencing at senior levels.
• Experience driving technical roadmap planning across multi-disciplinary teams.

Communication & Collaboration:

• Clear, confident written and verbal communication skills.
• Comfortable engaging with customers and senior stakeholders to articulate technical decisions, solution architecture, and delivery strategy.
• Effective leader in design reviews, sprint planning, technical discussions, and delivery execution.

Delivery & Process:

• Experience defining and improving engineering processes, documentation standards, and delivery governance.
• Strong track record of authoring and reviewing design documents, functional requirements, test strategies, and deployment guides.
• Experienced in Agile/Scrum environments with a focus on predictable, high-quality delivery.
• Willingness to work in US shift hours (5 PM – 2 AM IST).

You Will Have an Advantage If You Also Have:

• Hands-on experience with NICE CXone products or other cloud-based contact centre platforms.
• Experience with enterprise conversational AI platforms such as NICE CXone, Kore.ai, Amelia, Dialogflow, or similar.
• Exposure to Generative AI tools, LLM fine-tuning, or RAG-based architectures.

What's in It for You?

Join an ever-growing, market-disrupting, global company where the teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX! At NICE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility — 2 days working from the office and 3 days of remote work each week. Office days focus on face-to-face collaboration, where teamwork and creative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10786

Reporting Into: Director , Engineering 

Role Type: People Management