Your Impact

As a senior contributor in the APX SRE organization, you are passionate about delivering solutions to the real-time problems our mission-critical cloud native services encounter—and you’re relentless about the high quality, reliability, and security our customers demand. You will work closely not only with the APX SRE organization, but your technical deliverables will reach the entire engineering organization to enable product teams to continuously deliver features on the vanguard of innovation.

In this role, you’ll have a meaningful impact in Identity and Security, helping teams build and operate systems that protect user identity, strengthen authentication/authorization flows, and meet compliance expectations. You’ll partner closely with engineering, security, and identity stakeholders to raise the bar on secure-by-default reliability practices across the organization.

Location: Remote—anywhere in Canada

What You’ll Do

• Build robust, easy-to-use foundational platforms and tools that enable engineering teams to provision services rapidly, consistently, securely, and with high test confidence.
• Exemplify cloud-native site reliability best practices with a strong emphasis on testability, automation, and resilience in distributed systems.
• Design and implement test strategies and frameworks that validate reliability, performance, and security requirements (e.g., integration, end-to-end, chaos/resiliency, and regression suites).
• Write code that is performant, maintainable, clear, and concise.
• Employ strong problem-solving skills, with the ability to debug problems in cloud-native distributed systems using logs, metrics, traces, and automated diagnostics.
• Contribute to platform features and tooling by designing clear, well-tested APIs in Go or Python.
• Partner with Identity and Security teams to support and strengthen user identity lifecycle and access controls, authentication and authorization patterns, Okta integrations (e.g., SSO, OIDC/SAML flows, group/role mapping, policy enforcement), and compliance-aligned controls and security best practices.
• Help ensure systems meet operational and regulatory expectations through secure engineering practices (least privilege, secrets management, auditability, change control, and secure SDLC).
• Author design docs, test plans, threat-aware test cases, and usage guides to promote self-service.
• Take calculated risks, champion new ideas, and cultivate your craft.

What You Bring

• 6+ years of applicable software engineering or SRE experience
• 3+ years experience managing cloud platforms such as Azure, AWS, or similar.
• Experience operating in Kubernetes platforms like AKS, EKS, or similar.
• Experience using managed languages such as Python, Go, C#, Java, or similar with demonstrable API and unit/integration testing experience.
• Experience utilizing CI/CD platforms to automate provisioning infrastructure, software builds, releases, and automated test pipelines.
• Experience using observability tools such as APM, logging, and metrics to assist with debugging issues and reliability improvements.
• Experience designing tooling to simplify the operational management of SaaS/PaaS systems, including test automation and validation tooling.
• Familiarity with building flexible and testable Infrastructure as Code modules.
• Experience or strong working knowledge of identity and access management (IAM) concepts and secure authentication/authorization patterns.
• Experience integrating with or supporting Okta (or similar IdP) and identity standards like OIDC/SAML is a strong asset.
• Empathy to support the needs of software engineers.
• Ability to obtain RCMP Enhanced Reliability Status and Secret clearance.

About the Role

The ads team owns the product surfaces that drive growth for businesses on Whop. As an ads engineer, you will build and maintain the systems that let any business plan, launch, and scale paid campaigns on countless advertising networks — from a single buying flow. 

About Whop

Whop is a financial technology company on a mission to provide the world with sustainable income. Our vision is to create the world’s largest internet market, where people can create, connect, and transact all from a single platform. Whop enables individuals and businesses to accept payments, launch ventures, and engage with others across the network.

Today, Whop facilitates over $3 billion in annual payouts to people in 144 countries. Growth continues to accelerate, with gross transaction volume increasing roughly 25% month over month.

Whop has raised hundreds of millions from institutional investors like Insight, Bain Capital Ventures, A*, and Peter Thiel — including a recent strategic investment from Tether, the largest stablecoin company in the world.

Our current team is made up of young, passionate entrepreneurs who grew up on the internet — over 75% built a business before joining Whop, including 53 former founders and 30 who scaled past $1M in revenue. Product leadership includes backgrounds from Meta and Robinhood.

For more information, visit whop.com.

What you'll do

• Build the unified buying flow that powers campaigns on all advertising networks
• Ship campaign management, creative, and reporting surfaces that businesses genuinely enjoy using
• Integrate deeply with ad network APIs — campaigns, ad sets, ads, creatives, identities, pixels, and everything in between
• Design systems that turn opaque platform rejections and policy errors into clear, actionable feedback for creators

What you need

• Minimum of 5 years experience in a software development role
• Ability to work in a fast-paced startup environment with imperfect information
• Curiosity and drive to continuously seek ways to make the product better
• Ability to ship fast, reliable software with a high attention to detail
• Experience with Next.js and modern frontend best practices
• Excellent communication skills 

Nice to have

• Startup experience or experience as a technical founder/founding engineer
• Have built SDK components that lived inside other people's products
• Comfortable with financial systems and know how money moves
• You have a designer’s eye and notice when spacing is off or when flows could be simpler
• Experience with Ruby on Rails

Benefits overview

• ✅ Base salary of $220K+ a competitive equity package + opportunity for ownership in product's success 
• ❤️ Unlimited PTO, with full health, vision, dental coverage
• 🍕 Lunch & dinner paid for Monday through Friday
• 🏋️‍♀️ Free Equinox membership
• 💻 Latest MacBook Pro & tech accessories

About the Role

The ads team owns the product surfaces that drive growth for businesses on Whop. As an ML engineer on ads, you will work as the strategist behind Whop's autonomous ad operator - the system that decides what every business on Whop should test, how to allocate budget, and what to do with the results - shipping it into a live loop already wired into ad platforms and creative generation. Smarter decisions mean better ads, lower CAC, and more revenue for every business on Whop.

About Whop

Whop is a financial technology company on a mission to provide the world with sustainable income. Our vision is to create the world’s largest internet market, where people can create, connect, and transact all from a single platform. Whop enables individuals and businesses to accept payments, launch ventures, and engage with others across the network.

Today, Whop facilitates over $3 billion in annual payouts to people in 144 countries. Growth continues to accelerate, with gross transaction volume increasing roughly 25% month over month.

Whop has raised hundreds of millions from institutional investors like Insight, Bain Capital Ventures, A*, and Peter Thiel — including a recent strategic investment from Tether, the largest stablecoin company in the world.

Our current team is made up of young, passionate entrepreneurs who grew up on the internet — over 75% built a business before joining Whop, including 53 former founders and 30 who scaled past $1M in revenue. Product leadership includes backgrounds from Meta and Robinhood.

For more information, visit whop.com.

What you'll do

• Work on the closed-loop ads agent end to end — classification, strategy, creative selection, budget allocation, measurement, iteration
• Pick the right tool for each sub-problem
• Turn campaign outcomes across every business on Whop into training signal that compounds
• Build the evals that prove the agent is improving

What you need

• Minimum of 5 years experience in software development and or ML engineering roles
• Comfort making real decisions with noisy, delayed, expensive reward signals — you've worked on a problem where the feedback loop costs real money or real users
• Ability to ship fast, reliable software in a startup with imperfect information
• Excellent communication — you'll be the person translating "the agent did X because Y" to non-ML teammates and customers

Nice to have

• Startup experience or experience as a technical founder
• You've shipped an agentic system with real tool use and a real feedback loop in production — not a demo
• Comfortable thinking about attribution, incrementality, and the difference between a metric moving and a metric mattering
• Experience with offline RL, RLHF, or fine-tuning LLMs on production outcome data

Benefits overview

• ✅ Base salary of $250K+ a competitive equity package + opportunity for ownership in product's success 
• ❤️ Unlimited PTO, with full health, vision, dental coverage
• 🍕 Lunch & dinner paid for Monday through Friday
• 🏋️‍♀️ Free Equinox membership
• 💻 Latest MacBook Pro & tech accessories

About the Role

The ads team owns the product surfaces that drive growth for businesses on Whop. As an ads pixel engineer, you will own the pipelines that ship every purchase, signup, and conversion on Whop - reliably, accurately, and in real time - to the business owners, CRMs, and ad networks they work with. Better signal means better ads, lower CAC, and more revenue for every business on Whop.

About Whop

Whop is a financial technology company on a mission to provide the world with sustainable income. Our vision is to create the world’s largest internet market, where people can create, connect, and transact all from a single platform. Whop enables individuals and businesses to accept payments, launch ventures, and engage with others across the network.

Today, Whop facilitates over $3 billion in annual payouts to people in 144 countries. Growth continues to accelerate, with gross transaction volume increasing roughly 25% month over month.

Whop has raised hundreds of millions from institutional investors like Insight, Bain Capital Ventures, A*, and Peter Thiel — including a recent strategic investment from Tether, the largest stablecoin company in the world.

Our current team is made up of young, passionate entrepreneurs who grew up on the internet — over 75% built a business before joining Whop, including 53 former founders and 30 who scaled past $1M in revenue. Product leadership includes backgrounds from Meta and Robinhood.

For more information, visit whop.com.

What you'll do

• Own and scale the event pipeline that fans out Whop's first-party conversion data to every ad platform and CRM we integrate with
• Ship new destinations end to end - auth, schema mapping, identity matching, deduplication, retries, and backfill
• Push match rates higher on every destination through better identity resolution, hashing, and normalization
• Deepen observability so we can answer "did this event land, get matched, and get attributed?" for any conversion, on any destination
• Work closely with the ad networks team to close the loop between ad spend and outcomes

What you need

• Minimum of 5 years experience in a software development role
• Ability to work in a fast-paced startup environment with imperfect information
• Curiosity and drive to continuously seek ways to make the product better
• Ability to ship fast, reliable software with a high attention to detail
• Experience building high-throughput backend systems and event pipelines
• Excellent communication skills 

Nice to have

• Startup experience or experience as a technical founder
• You've shipped a CAPI, server-side tagging, or conversion API integration before (Meta, TikTok, Google, Snap, Reddit, etc.)
• Familiar with CRM APIs — HubSpot, GoHighLevel, Klaviyo, Salesforce, or similar
• Comfortable thinking about attribution, match rates, deduplication, and identity resolution
• Experience with Ruby on Rails, Sidekiq, and high-volume queueing systems

Benefits overview

• ✅ Base salary of $250K+ a competitive equity package + opportunity for ownership in product's success 
• ❤️ Unlimited PTO, with full health, vision, dental coverage
• 🍕 Lunch & dinner paid for Monday through Friday
• 🏋️‍♀️ Free Equinox membership
• 💻 Latest MacBook Pro & tech accessories

Company Background

Our client is a global technology company transforming the advertising landscape by enabling advertisers, agencies, publishers, and broadcasters to leverage advanced data and modern TV technologies. Their unified technology stack includes a demand-side platform (DSP), a supply-side platform (SSP), and a robust data platform that supports scalable advertising solutions. With an international presence and a culture of flexibility and innovation, they are building a world-class engineering organization.

Project Description

As part of the DevOps team, you will be embedded within one or more software engineering teams to deliver infrastructure and operational support. You’ll take ownership of delivering scalable, automated systems and services. Your work will help bridge the gap between development and operations, ensuring reliable, secure, and performant infrastructure across a modern microservices architecture. You’ll be expected to operate infrastructure in AWS, build CI/CD pipelines, monitor performance, troubleshoot complex issues, and support both development teams and live production systems.

Technologies

• Linux
• AWS
• Chef
• Ansible
• Terraform
• Bash
• Python
• Ruby
• Bamboo
• Kubernetes
• REST APIs
• Microservices
• Prometheus
• InfluxDB
• Nagios
• ELK
• Zookeeper
• Consul
• Spark
• Hive
• EMR
• Couchbase

What You'll Do

• Contribute to the design and implementation of infrastructure solutions with a strong focus on automation and scalability;
• Operate, monitor, and troubleshoot infrastructure in large-scale production environments;
• Support developers with deployment, observability, and reliability tooling;
• Develop scripts and automation tools for monitoring, incident response, and infrastructure tasks;
• Collaborate across engineering and business teams to maintain operational excellence;
• Maintain system documentation, deployment procedures, and best practices;
• Proactively identify performance bottlenecks and implement tuning strategies;

Job Requirements

• 3+ years of experience in DevOps roles supporting large-scale production environments;
• Expertise with AWS;
• Strong Linux skills, with advanced knowledge of system internals and networking;
• Knowledge of Victoria Metrics, Click House, and Grafana;
• Hands-on experience with infrastructure-as-code tools like Chef, Terraform, or Ansible;
• Proficiency in scripting languages such as Bash, Python, or Ruby;
• Experience with Kubernetes and container orchestration;
• Familiarity with monitoring tools like Prometheus, Nagios, or InfluxDB;
• Experience with CI/CD practices and tools;
• English: B1+ level (spoken and written);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.

As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.

A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.

Project Description

We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.

Technologies

• Python
• Git, CI/CD practices for ML and data pipelines
• AWS and/or Azure
• PyTorch, TensorFlow
• MLflow
• LLMs and NLP tasks
• Generative AI concepts
• LangChain/LangGraph, LlamaIndex
• Qdrant, Pinecone, Weaviate, FAISS or similar
• RNNs, Transformers
• Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
• Prometheus, Grafana, DataDog, OpenTelemetry
• YOLO, SDD
• Segmentation models
• Image Classification

What You'll Do

• Lead the design, development, and deployment of scalable ML services;
• Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
• Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
• Mentor and guide junior engineers, promoting best practices in ML engineering;
• Develop and maintain documentation, ML models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
• Stay up-to-date with emerging trends and technologies in AI/ML field;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
• Strong proficiency in Python;
• Experience with cloud data platforms (AWS and/or Azure);
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
• Experience with data governance, security, and compliance in cloud environments;
• Excellent problem-solving, communication, and leadership skills;
• English: Upper Intermediate level or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading global data center provider delivering hyperscale and edge infrastructure solutions across the Americas, EMEA, and Asia-Pacific. With 80+ data centers in 20+ countries, they partner with industry leaders such as Google, Oracle, NVIDIA, and Microsoft Azure to power the world’s digital infrastructure. Recognized as a USA TODAY Top Workplace for four consecutive years, the company continues to expand its global footprint and customer ecosystem.

Project Description

We are looking for a Cloud Infrastructure Engineer to help shape and deliver a modern cloud and hybrid IT strategy across Azure, AWS, and GCP. In this role, you will design scalable, secure, and cost-effective infrastructure that supports enterprise applications, hybrid connectivity, and next-generation data and AI/ML workloads.

Technologies

• Azure ecosystem
• Azure DevOps
• GCP / AWS
• Infrastructure as Code: Bicep
• Windows Server
• Microsoft SQL Server

What You'll Do

• Lead the assessment and modernization of enterprise cloud workloads, defining migration roadmaps across retain, re-platform, refactor, and retire scenarios;
• Design governed multi-cloud landing zones across Azure, AWS, and/or GCP, standardizing networking, identity, policy, and account/subscription topology through Terraform and Bicep;
• Establish cloud-agnostic infrastructure practices, reusable IaC modules, and automated provisioning standards to reduce manual operations and subscription sprawl;
• Govern identity and access across cloud platforms, SaaS applications, and CI/CD workloads using Microsoft Entra ID, conditional access, workload identity federation, and service principal controls;
• Architect secure hybrid and cross-cloud connectivity, including ExpressRoute, SD-WAN, traffic segmentation, and low-latency data transfer patterns;
• Implement zero-trust security controls for IT/OT boundaries, including inspected and policy-enforced traffic flows for SCADA, HMI, ICS, and enterprise systems;
• Design resilient, highly available cloud architectures with defined RTO/RPO targets and automated disaster recovery validation;
• Build platform services, CI/CD templates, and self-service infrastructure capabilities that enable internal teams to consume cloud services through documented standards and APIs;
• Implement governance, policy-as-code, and FinOps practices to enforce security, compliance, cost tagging, spend attribution, and cloud cost optimization;
• Support strategic modernization initiatives, including Kubernetes adoption, application containerization, database optimization, and reduction of Windows server licensing costs;

Job Requirements

• 7+ years of experience in cloud infrastructure engineering, with deep hands-on expertise in Microsoft Azure and production experience with at least two major cloud providers, such as Azure, AWS, or GCP;
• Strong experience with cloud networking, IAM, compute, IaaS/PaaS services, and Microsoft Entra ID / Azure AD, including conditional access, workload identity federation, SAML/SCIM, and service principal governance;
• Proven expertise in IaC using Terraform and/or Bicep, including governed landing zones, module registries, and cloud infrastructure migration;
• Hands-on experience designing and operating CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools, including pipeline-as-code, security scanning, and deployment gates;
• Solid understanding of zero-trust architecture, IT/OT boundary security, and industrial control environments such as SCADA, HMI, and ICS;
• Experience designing and validating disaster recovery architectures across regions and cloud providers, including RTO/RPO definition and automated failover testing;
• Familiarity with FinOps practices and tools, including cost tagging, spend attribution, showback/chargeback models, CloudHealth, CloudCor, or native cloud cost tools;
• Experience with policy-as-code frameworks such as Azure Policy, AWS SCPs, GCP Organization Policies, or Open Policy Agent;
• English level: B2 or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.

Technologies

• Azure
• Databricks (Architecture, Unity Catalog, Delta, Lineage, Permissions, Databricks Genie, Notebooks)
• Agentic AI (Mosaic AI)
• Python
• SQL

What You'll Do

• Develop and maintain data pipelines within the Azure-based data platform;
• Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
• Build and optimize data transformations using Python and SQL;
• Develop and support AI-driven data pipelines and automation using Databricks (Mosaic AI or similar tools);
• Support and enhance existing production data systems;
• Collaborate with a team of engineers on Databricks-based solutions;
• Ensure data quality, consistency, and reliability across data pipelines;

Job Requirements

• 3+ years of experience as a Data Engineer;
• Strong experience with Databricks ecosystem (Architecture, Unity Catalog, Delta tables, lineage, permissions, Databricks Genie, notebooks);
• Strong experience with Python;
• Solid proficiency in SQL;
• Experience working in Azure cloud environment;
• Experience with Databricks pipelines AI automation (Mosaic AI or AWS Agentcore);

Nice To Have

• Experience with Azure data integration tools (Synapse Pipelines, Azure Data Factory);
• Experience with Azure SQL pools;
• Understanding of performance tuning for data workloads;
• Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a leading life insurance company, part of a global financial services group. The company offers a wide range of products, including annuities and life insurance, delivered through a large nationwide network of agents.

Project Description

The project focuses on a production system managing clients and life insurance programs. The role involves both support and new feature development, with a strong emphasis on building and optimizing data pipelines and working within a modern Azure-based data platform.

Technologies

• Databricks (architecture, Unity Catalog, Delta Tables, data lineage, permissions, Databricks Genie, notebooks)
• SQL
• Python
• Azure

What You'll Do

• Develop and maintain data pipelines within the Azure-based data platform;
• Work with the Databricks ecosystem (Delta Tables, Unity Catalog, notebooks) to process and manage data;
• Write, optimize, and maintain data transformations using Python and SQL;
• Support and enhance existing production data systems;
• Collaborate with a team of engineers on Databricks-based solutions;
• Ensure data quality, consistency, and reliability across data pipelines;

Job Requirements

• 3+ years of experience as a Data Engineer
• Strong experience with Databricks ecosystem (architecture, Unity Catalog, Delta tables, lineage, permissions)
• Solid knowledge of SQL
• Strong experience with Python
• Experience working in Azure cloud environment
• Good understanding of data pipelines and data platform architecture
• Strong analytical and problem-solving skills
• Excellent communication skills
• English level: B2 (Upper-Intermediate) or higher

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.

Project Description

As a member of the DevOps team, you will be responsible for delivering solutions to your assigned team and scalable, reusable solutions across the entire engineering organization. You will operate infrastructure and ensure services are monitored, reliable, automated, and scalable, supporting tasks from server provisioning and application deployments to troubleshooting. You will also help bridge the gap between development and operations, collaborating across engineering and business teams.

Technologies

• AWS
• Kubernetes
• Linux admin
• OpenTelemetry/Grafana/Prometheus/Elasticsearch
• CI/CD
• ArgoCD
• Bash/Python
• Ansible/Chef
• GitLab
• Airflow
• Spark

What You'll Do

• Contribute to the implementation and design of systems and networks used to operate production infrastructure with a focus on automation;
• Collaborate with developers on operations-related issues, providing support and guidance;
• Develop tools to monitor infrastructure and custom applications;
• Troubleshoot issues across the entire stack;
• Document system design and application operation procedures;
• Build, monitor and tune production systems;

Job Requirements

• Experience with or knowledge of AWS and physical infrastructure (other cloud is a plus);
• Experience with or knowledge of automation tools (Terraform or Ansible);
• Troubleshooting skills and experience with Linux;
• Understanding of Linux, networking, and internet fundamentals;
• Understanding of monitoring infrastructure and applications (e.g. Grafana, Prometheus, InfluxDB);
• Scripting skills in one or more of the following: Bash, Python;
• Experience with containers and orchestration tools such as Docker and Kubernetes (or similar);
• Familiarity with CI/CD tools (e.g. GitLab CI, GitHub Actions, Jenkins);
• Confident use of Git, including branching, pull requests, and code review;
• Basic understanding of security concepts, including secrets management, IAM, and HTTPS/TLS;
• Ability to work with logs and identify the root cause of failures;
• Ability to work independently and deliver tasks with minimal supervision;
• Readiness to participate in on-call / shift duties on a rotating schedule;
• English: B1+ level;

Nice To Have

• Experience with highly loaded production systems;
• Experience with support services such as Consul, Zookeeper & ELK;
• Experience with noSQL solutions (Couchbase a plus);
• Experience with big data systems (EMR, Spark & Hive a plus);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is an international team of industry and domain experts focused on transforming the travel and transportation industry through advanced technologies. The company helps industry leaders achieve commercial success by leveraging modern, data-driven and scalable software solutions.

Project Description

The goal is to join a self-organizing QA team and lead testing initiatives across a microservices-based platform. The project involves close collaboration with Product Owners, Architects, and Engineering teams to ensure high-quality software delivery. You will drive testing strategies, automation, and best practices across the full development lifecycle, with a strong focus on API and end-to-end testing.

Technologies

• Python, SQL
• Postman, Datadog
• Robot Framework, Playwright
• REST, Pub/Sub, Kafka
• Kubernetes, GCP

What You'll Do

• Design and implement test strategies and test plans
• Develop and maintain automated test scripts (API, E2E, contract, performance)
• Perform manual testing for complex scenarios
• Implement test automation for microservices architecture
• Integrate automated tests into CI/CD pipelines
• Identify, track, and manage defects
• Maintain test documentation (test cases, plans, reports)
• Collaborate with cross-functional teams to ensure product quality
• Mentor QA engineers and promote best practices
• Monitor quality metrics and continuously improve testing processes

Job Requirements

• 5+ years of experience in QA / Test Automation
• Strong experience with API testing and microservices-based systems
• Hands-on experience with Python
• Deep understanding of manual and automated testing methodologies
• Experience with various testing types (E2E, API, contract, performance, UI)
• Strong knowledge of SQL
• Understanding of cloud platforms (GCP or similar)
• Experience integrating testing into CI/CD pipelines
• Strong analytical and problem-solving skills
• Experience working in Agile environments
• Ability to create and maintain test documentation and strategies
• Strong communication and collaboration skills
• English level: B2 (Upper-Intermediate) or higher

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a people-first financial services company that leverages technology to help consumers overcome debt and build a stronger financial future. With over 2,000 employees across the U.S., the company is expanding through a new division focused on home mortgage solutions.

Project Description

The Software Development Engineer in Test will design, test, and deploy effective test automation solutions to monitor, validate, and orchestration software throughout all stages of the SDLC.

Technologies

• Java + Unirest
• JavaScript + WebDriverIO
• Selenide, Cucumber
• Maven, CircleCI, Google Cloud Platform, Cloud Firestore, Docker, Kubernetes, Datadog, LaunchDarkly

What You'll Do

• Design, develop, and maintain automated tests for UI and API layers;
• Execute, analyze, and maintain automation test runs;
• Build automation coverage across functional, integration, regression, and performance testing;
• Improve and maintain automation frameworks and best practices;
• Work independently on assigned streams or standalone automation tasks;
• Collaborate with Agile teams and follow QA standards;

Job Requirements

• 3+ years experience in QA Automation;
• 5+ years overall IT experience (preferable);
• Strong understanding/experience in QA in general (including manual QA artifacts);
• Strong background in at least one programming language (JavaScript is preferred);
• Readiness to work with JavaScript right away is required;
• Readiness to work with Java is required;
• Experience working on both UI (WebdriverIO or Selenium)/API (Unirest or RestAssured) automation;
• CI/CD understanding;
• English level: B2 (Upper-Intermediate) or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Location: United States (Remote – Mountain or Central Time Zones)

The Role: Strategic Lead for API Governance & Digital Ecosystems

As organizations accelerate their digital transformation, the ability to securely expose and govern data assets becomes a core competitive advantage. Boomi is seeking a Senior Presales Solutions Engineer with deep expertise in API Management (APIM) to lead our most complex technical engagements in North America.

In this strategic role, you will act as a principal architect, helping enterprise clients transition from fragmented connectivity to a mature, API-led architecture. You will be responsible for defining the vision of how Boomi’s platform secures, manages, and scales digital services, ensuring that integration efforts translate into measurable business value and ecosystem growth.

Key Responsibilities

• Strategic Architecture & Vision: Lead the design of comprehensive API strategies that encompass the full lifecycle—from initial design and documentation (OpenAPI/Swagger) to sophisticated security policy enforcement and retirement.
• Executive Technical Consultation: Partner with C-level stakeholders and Enterprise Architects to articulate the ROI of an "API-First" strategy, focusing on security, scalability, and the productization of data.
• Advanced Security Orchestration: Serve as the subject matter expert on enterprise-grade security protocols (OAuth 2.0, OpenID Connect, JWT), ensuring Boomi’s gateway solutions meet stringent corporate compliance and governance standards.
• Developer Ecosystem Advocacy: Architect and demonstrate robust Developer Portals that facilitate the discovery and consumption of internal and external APIs, fostering innovation across the client’s ecosystem.
• Win-Team Leadership: Coordinate cross-functional teams of internal specialists to lead high-stakes Proof of Concepts (PoCs) and deliver authoritative responses to complex RFI/RFP technical requirements.
• Cross-Product Synergy: Demonstrate the critical intersection between API Management and foundational iPaaS, showing how governed APIs serve as the secure delivery mechanism for the enterprise "Golden Record."

Professional Qualifications

• Enterprise API Expertise: Extensive experience in API Lifecycle Management and the deployment of high-performance API Gateways within complex, distributed environments.
• Security & Governance Mastery: Deep technical proficiency in modern identity providers and security frameworks, with a clear understanding of how to mitigate risks at the edge.
• Architectural Depth: Proven ability to design solutions incorporating Microservices, Service Mesh, and Event-Driven Architectures (EDA).
• Consultative Selling: A track record of driving technical alignment in a sales environment, moving beyond feature-functionality to solve high-level business challenges.
• Communication & Influence: Exceptional ability to present to executive-level audiences, bridging the gap between technical complexity and strategic business outcomes.

Preferred Skills & Technical Credentials

• Cloud & APIM Platforms: Advanced proficiency in AWS, Azure, or GCP ecosystems and enterprise API suites (e.g., MuleSoft, Apigee, Lavender, or Kong).
• Professional Certifications: Industry credentials in Cloud Architecture (AWS/Azure/GCP), Information Security (CISSP/CCSP), or Enterprise Frameworks (TOGAF).
• Governance & Emerging Tech: Expertise in API Lifecycle Management and the security/orchestration of AI-driven APIs and LLMs.

Aren’t sure if you’re a match? We know that impostor syndrome and the confidence gap can prevent us from meeting spectacular candidates — so don’t hesitate to apply; you could be the perfect fit!

Boomi is committed to fair and equitable compensation practices.  The On Target Earnings (OTE) for this role are $175K - $219K (inclusive of commission). Base compensation is determined by various factors including geographic location and the candidate's knowledge, skills, and experience This position is remote-friendly and, as such, final compensation will be determined by various factors including the candidate’s knowledge, skills, experience, and geographic location. Click here for an overview of our benefits at Boomi!

Within Verisign, our Data Engineering Team is responsible for designing, building and maintaining large-scale, high-throughput (millions requests per second) data products and services delivering actionable operational and business intelligence. To help us advance our products, we are looking for a skilled Mid-Level Data Engineer.

An ideal candidate should deeply care about all steps of data lifecycle (ingestion, enhancement, storage, processing, visualization), be fluent in a JVM-based language, and be eager to learn as needed. They should have an understanding of fundamentals including core Computer Science concepts accompanied by hands-on problem-solving experience ideally involving large-scale distributed systems. Obtaining these competencies often requires an equivalent of a bachelor’s degree and 5 years of practical work experience. We are also open to other career paths.

The candidate will be involved in all aspects of data engineering, including ideation, design, implementation, deployment, customer onboarding, and support. This will often imply regular cross-team collaboration with Verisign Data Platform, Business, Infrastructure, Engineering, Security, and Operations. We expect the candidate to take full ownership of the data products, regularly interacting with the internal customers, proactively identifying, prioritizing, and delivering on their common data needs.

Key Responsibilities:

• Design, build and optimize real-time and batch data processing pipelines.
• Develop and maintain data processing components that implement transformation, normalization, and enrichment logic.
• Build and maintain interactive dashboards and visualizations for internal stakeholders.
• Develop and maintain containerized workloads deployed in Kubernetes environments using CI/CD automation.
• Ensure system and data pipelines reliability through monitoring, observability, and alerting practices.
• Troubleshoot complex issues in distributed data systems and resolve performance bottlenecks.
• Support internal customers using data products and analytical platforms.
• Contribute to continuous improvement by applying data engineering best practices, particularly in hybrid cloud environments.

Required Skills

• Strong programming fundamentals with experience in object-oriented or functional programming languages
• Experience working with data lake and analytical technologies (e.g., Iceberg, Druid, Hive, Object Storage).
• Familiarity with streaming data platforms such as Apache Kafka.
• Experience implementing CI/CD pipelines (e.g. Jenkins).
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to collaborate effectively with cross-functional stakeholders.

Preferred Skills

• Proficiency in Java or other JVM-based programming languages (e.g., Scala).
• Hands-on experience with distributed data processing frameworks such as Apache Spark or Akka Streams.
• Experience with containerization and orchestration technologies (Docker, Kubernetes) in production environments.
• Strong understanding of distributed systems concepts and performance optimization.
• Experience working in large-scale, production-grade data environments.
• Experience with delivering business insights by leveraging data visualization tools such as Grafana, Tableau or Superset.

An ideal candidate will have a blend of technical skills, an intention to grow themselves and those around them, and allow Verisign to continuously improve the delivery of business and operational insights:

Qualifications:

• Bachelor’s degree in computer science or a related technical field, or equivalent combination of education and experience
• Prior experience developing and managing production-grade data pipelines
• Achieving this skill-set typically requires a minimum of 5 years of relevant industry experience in addition to a Bachelors or Masters degree, but we are open to alternative career paths

We are looking for a Systems Engineer to join a dynamic team responsible for building, managing and maintaining the Verisign Kubernetes platform on which our mission-critical services depend. We prize engineering professionals who are equipped with great technical skills and attitudes that motivate those around them.

Our platform and our team

Our platform uses a mix of Open Source and commercial off-the-shelf software and targets a large on-premise bare-metal footprint using cloud-native constructs. The environment offers a secure-by-default configuration, implementing a GitOps-first approach, in-depth network micro-segmentation and governance policies. We follow a mostly Kanban workflow and adhere to devops and GitOps principles. We value fast iteration and a customer-oriented approach while being mindful about security. The team has strong expertise in Kubernetes, networking and operating an internal cloud but also has experience with application development. The team is geographically diverse, with presence in both Switzerland and the US.

Job responsibilities:

• Develop the internal Kubernetes platform
• Integrate platform components and operators; implement the deployment and monitoring for these following infrastructure as code (IaC), configuration as code (CaC) and GitOps principles
• Develop and maintain an internal Kubernetes operator
• Develop CI validation and verification of the code base
• Adopt a security mindset as part of development and validation processes
• Document the platform for use-of-use by application teams and the platform operations team
• Coordinate with other technical staff to implement systems and software, prioritizing depending on business needs
• Support operations functions, including root cause identification, remediation and documentation
• Regularly re-assess the platform's internal ecosystem with the industry's leading solutions 
• Participate in a 24x7 on call rotation for tier 3 support

Preferred Skills, Experience, and Attributes:

An ideal candidate will have a blend of technical skills, an intention to grow themselves and those around them, and will have a combination of:

• Experience with Kubernetes (and related ecosystem) configuration and administration
• Experience developing mature solutions for monitoring and reporting using tools like Prometheus, Grafana and Splunk
• Writing code with a high-level programming language such as Python or Go (aka Golang)
• Experience writing and maintaining a Kubernetes operator
• Understanding of security and network stack
• Experience operating Linux and Unix systems in a large scale environment
• Experience with managing an on-premise footprint
• Experience with one cloud environment, such as AWS
• Familiarity with development tools such as GitHub
• Written and verbal communication skills; ability to clearly and succinctly describe complex issues

Qualifications:

• Bachelor’s degree in computer science or a related technical field, or equivalent combination of education and experience
• Prior experience developing or operating a Kubernetes platform in a production environment
• Experience with one high-level programming language
• Achieving this skill-set typically requires a minimum of 5 years of relevant industry experience, but we are open to alternative career paths

We are seeking an experienced Senior Engineer - ServiceNow Platform with deep technical expertise in IT Service Management (ITSM), IT Asset Management (ITAM), Platform Integrations, Discovery. The ideal candidate will have proven experience designing, implementing, and managing complex ServiceNow platform solutions. This role will involve overall platform implementation, driving innovation, ensuring system optimization, and responsible for solution design for platform delivery. Ideal candidates demonstrate strong leadership skills to guide technical teams and business stakeholders.

Key Responsibilities:

• Platform Strategy:
• Lead the overall design of the ServiceNow platform, ensuring alignment with business goals and industry and technical best practices.
• Collaborate with business leaders, stakeholders, and technical teams to develop and implement innovative solutions using ServiceNow platform.
• Define platform roadmaps, by ensuring scalability, performance, stability, and audit compliance.
• Lead the design of workflows, integrations, and modules to extend the ServiceNow platform’s capabilities.
• ServiceNow Implementation & Optimization:
• Drive the end-to-end implementation of ServiceNow solutions, focusing on Core foundation, ITSM, ITAM, ITOM, SecOPs, GRC, TPRM, and other relevant modules.
• Manage platform upgrades and ensure all applications are optimized and adhere to enterprise security and compliance standards.
• Provide technical guidance to configure, customize, and develop on the ServiceNow platform based on business needs.
• Manage the documentation of solutions, internal technical and process knowledge base materials, and training of process owners and stakeholders.
• Leadership:
• Provide process governance and technical best practices.
• Providing mentorship and guidance for a team of ServiceNow engineers
• Work closely with cross-functional teams (IT, Security, Engineering, Finance, HR) to drive adoption and ensure platform success.
• The ability to meet strict deadlines and other targets both individually and as the leader of multiple teams, strong decision maker.
• Stakeholder Engagement & Communication:
• Engage with executive leadership and management to understand business objectives, providing solutions that deliver tangible value and measurable outcomes.
• Coordinate with ServiceNow team management to ensure clear communication regarding project status, challenges, and milestones.
• Continuous Improvement:
• Establish technical governance and best practices to continuously improve platform performance and operational efficiency.
• Stay current with the latest ServiceNow trends, releases, and best practices, proactively applying new technologies and functionalities to enhance the platform.
• Create a safe space for engineering team members to experiment with technical solutions that may solve organizational problems.

Required Qualifications:

• Experience:
• 8+ years of experience with ServiceNow, including deep technical expertise in ITSM, ITAM, ITOM, SecOPs, GRC, and TPRM modules.
• Strong experience in architecture and design of ServiceNow platform implementations, including workflows, custom apps, and integrations.
• Proven experience leading technical teams, process governance and delivering large-scale projects.

• Technical Skills:
• Proficiency with scripting languages (JavaScript, Glide, etc.) in the context of ServiceNow platform development and Service Portal (HTML, CSS, AngularJS, SASS, Bootstrap)
• Strong understanding of CMDB, Asset Management, Discovery, Portal, Incident, Problem, and Change Request Management processes.
• Experience integrating ServiceNow with external systems via REST/SOAP APIs, Integration Hub and Spokes.
• Nice to have Perl and Python programming in Linux environment.
• Experience with Agile, Scrum and Kanban development methodologies.

• Leadership & Communication:
• Demonstrated ability to mentor technical teams, ensuring a collaborative and high-performance culture.
• Excellent verbal and written communication skills, with the ability to present complex technical concepts to business leaders and stakeholders.

• Education/Certifications:
• Bachelor's degree in IT, Business, or related field preferred or equivalent work experience.
• ServiceNow Certified Implementation Specialist (ITSM, ITAM, or similar).
• ServiceNow Certified System Administrator (CSA).
• ServiceNow Certified Application Developer (CAD).
• ITIL v3/v4 certification is a plus.
• Certified Technical Architect (CTA) is a big plus.

This position is based in our Reston, VA office and offers a hybrid work schedule.

The pay range is $135,800- $183,800.

The anticipated annual base salary range for this position is noted above, however, base pay offered may vary depending on job-related knowledge, skills, experience. Verisign offers a discretionary bonus which is based on individual and company performance, and certain roles may be eligible for discretionary stock awards.

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

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

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

Role Overview

As our Staff Machine Learning Engineer for Coupang Media Group, Ads Quality, you will be responsible for developing, designing machine learning models, optimization algorithms and new product features for our advertising platform. 

The Coupang Media Group (CMG) is responsible for providing vendors that sell their products on Coupang a host of marketing products and services.  We launched Product Ads performance advertising marketplace late in 2018.  We have grown rapidly to over 10,000 active advertisers and 150M daily ad impressions in only 5 months’ time. Our group is responsible for advertising brands and products inside our e-commerce website. To get an idea of how valuable that is, both Alibaba and Amazon make more money on advertising than on selling products.  

This is an opportunity to be part of building up a new development organization with strong revenue potential inside a successful company. We’re building full-stack engineering teams to handle large scale advertising problems, including real-time behavioral targeting, auctioning and bidding systems and search based advertising. 

We are in the growth phase of the organization, so you’ll be a part of managing the transition from growth phase to enterprise processes. 

In this role you will be responsible for innovating and building our new ad quality stack for our ads platform  and eventually extend it into a full ad exchange, DSP, and SSP. We currently handle about 1bn impressions per day from internal traffic alone. 

What You Will do

• Design features and build large-scale machine learning models and systems to improve ad targeting, relevance, ranking, and engagement 
• Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning, and vector search
• Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning
• Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence
• Define and track key performance metrics to evaluate model impact and identify high[1]leverage opportunities for improvement
• Collaborate cross-functionally with product, engineering, and data science teams to align technical solutions with business goals and customer experience
• Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning

Basic Qualifications

• Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
• 4 years of professional experience in applied machine learning
• Experience in machine learning, deep learning, and statistical modeling
• Proficiency in Python and/or Java, with experience in building production grade ML systems

Preferred Qualifications

• Master’s or PhD in relevant technical fields
• Experience with search systems, information retrieval or recommendation engines
• Experience with LLMs, embeddings, and vector search technologies
• Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker
• Experience working in startup or high-growth environments
• Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization
• Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikit[1]learn, Keras, XGBoost, LightGMB, and H2o.ai
• Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
• Demonstrated ability to work independently and manage ambiguity in fast-paced environments

Pay & Benefits

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.

The base pay for Staff position ranges from $152K/year to $261K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

General Description of All Benefits

• Annual bonus is 0-20% of the base salary
• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• 6 weeks Paid Parental leave
• Pre-tax commuter benefits
• MTV - [Free] Electric Car Charging Station

General Description of Other Compensation

“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate.

Recruitment Process and Others

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.

• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

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

Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

Requisition ID: R0072711

Please complete the attached Internal Transfer Request Form and submit.  

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

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

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

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

Role Overview

As our Staff Machine Learning Engineer for Coupang Media Group, Ads Quality, you will be responsible for developing, designing machine learning models, optimization algorithms and new product features for our advertising platform. 

The Coupang Media Group (CMG) is responsible for providing vendors that sell their products on Coupang a host of marketing products and services.  We launched Product Ads performance advertising marketplace late in 2018.  We have grown rapidly to over 10,000 active advertisers and 150M daily ad impressions in only 5 months’ time. Our group is responsible for advertising brands and products inside our e-commerce website. To get an idea of how valuable that is, both Alibaba and Amazon make more money on advertising than on selling products.  

This is an opportunity to be part of building up a new development organization with strong revenue potential inside a successful company. We’re building full-stack engineering teams to handle large scale advertising problems, including real-time behavioral targeting, auctioning and bidding systems and search based advertising. 

We are in the growth phase of the organization, so you’ll be a part of managing the transition from growth phase to enterprise processes. 

In this role you will be responsible for innovating and building our new ad quality stack for our ads platform  and eventually extend it into a full ad exchange, DSP, and SSP. We currently handle about 1bn impressions per day from internal traffic alone. 

What You Will do

• Design features and build large-scale machine learning models and systems to improve ad targeting, relevance, ranking, and engagement 
• Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning, and vector search
• Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning
• Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence
• Define and track key performance metrics to evaluate model impact and identify high[1]leverage opportunities for improvement
• Collaborate cross-functionally with product, engineering, and data science teams to align technical solutions with business goals and customer experience
• Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning

Basic Qualifications

• Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
• 4 years of professional experience in applied machine learning
• Experience in machine learning, deep learning, and statistical modeling
• Proficiency in Python and/or Java, with experience in building production grade ML systems

Preferred Qualifications

• Master’s or PhD in relevant technical fields
• Experience with search systems, information retrieval or recommendation engines
• Experience with LLMs, embeddings, and vector search technologies
• Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker
• Experience working in startup or high-growth environments
• Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization
• Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikit[1]learn, Keras, XGBoost, LightGMB, and H2o.ai
• Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
• Demonstrated ability to work independently and manage ambiguity in fast-paced environments

General Description of All Benefits

• Annual bonus is 0-20% of the base salary
• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• 6 weeks Paid Parental leave
• Pre-tax commuter benefits
• MTV - [Free] Electric Car Charging Station

General Description of Other Compensation

“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate.

Recruitment Process and Others

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.

• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

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

Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

Requisition ID: R0072711

Please complete the attached Internal Transfer Request Form and submit.  

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

Please complete the attached Internal Transfer Request Form and submit.  

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

Company Introduction  

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

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

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

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

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

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

 Role Overview  

 As our Staff Machine Learning Engineer for Coupang Media Group, Ads Quality, you will be responsible for developing, designing machine learning models, optimization algorithms and new product features for our advertising platform.   

The Coupang Media Group (CMG) is responsible for providing vendors that sell their products on Coupang with a host of marketing products and services.   Our group is responsible for advertising brands and products inside our e-commerce website. 

This is an opportunity to be part of building up a new development organization with strong revenue potential inside a successful company. We’re building full-stack engineering teams to handle large scale advertising problems, including real-time behavioral targeting, auctioning and bidding systems and search-based advertising.    

In this role you will be responsible for innovating and building our new ad quality stack for our ads platform and eventually extend it into a full ad exchange, DSP, and SSP. 

What You Will do  

• Design features and build large-scale machine learning models and systems to improve ad targeting, relevance, ranking, and engagement   
• Develop new techniques for automated mechanisms, e.g. automated bidding, query expansion etc. for improving advertising platform efficiency
• Develop new techniques for providing suggestions for advertisers to identify opportunities in the marketplace and improve their return on investments
• Architect our machine learning platform at internet scale   
• Effectively lead projects across teams and mentor the junior developers  
• Work with product and sales teams to design and implement new ad product features   

Basic Qualifications  

• 8+ years of industry software engineering experience in machine learning, statistics, information retrieval   
• Deep knowledge in machine learning, deep learning, and statistical modeling  
• Excellent communicator, both to technical and business audiences  
• Strong problem-solving skills  
• Self -starter and innovator who likes to solve complex problems  
• Proven track record of taking ownership and successfully delivering results  
• Ability to deal with ambiguity in business and technology  
• Ability to work in multi-cultural, cross functional team  
• Bachelors’ degree in computer science, engineering, mathematics, physics, science or equivalent   

 Preferred Qualifications  

• Experience working with AWS (Amazon web services)  
• Experience with advertising systems/Search advertising/Advertising Marketplace   
• Experience working in startups   

Pay & Benefits   

Our compensation reflects the cost of labor across several US geographic markets. At Coupang, your base pay is one part of your total compensation.  

The base pay for this position ranges from $142,000/year in our lowest geographic market to $309,000/year in our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.  

General Description of All Benefits

• Annual bonus is 0-20% of the base salary
• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• 6 weeks Paid Parental leave
• Pre-tax commuter benefits
• MTV - [Free] Electric Car Charging Station

General Description of Other Compensation

“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate.

Job Requisition ID: R0072710

Please complete the attached Internal Transfer Request Form and submit.  

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

• Proactively drive the execution of end-to-end data platform, data quality roadmap for Search & Discovery ML efforts
• Take ownership, consolidate and optimize the Search & Discovery core data logging, processing, and ML model training pipelines
• Develop and scale data infrastructure that powers batch and real-time data processing, monitoring, and debugging for ML experiments
• Drive design and implementation of scalable ML based ranking system and online ML inference services
• Build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers, Indexing Platform Engineers, Ranking Engineers and Data Platform Engineers to understand both the offline and online needs and deliver on those needs
• Research, analyze and select technical approaches for solving difficult and challenging development and integration problems, coach and mentor other engineers in process and methodologies

Basic Qualifications

• Bachelor's degree in computer science, electrical engineering, mathematics, statistics or 
  closely related fields
• 8 years of professional experience in applied machine learning
• Experience in machine learning, deep learning, and statistical modeling
• Proficiency in Python and/or Java, with experience in building production grade ML 
  systems

Preferred Qualifications

• Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning)
• Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.)
• Experience with ML frameworks such as Tensorflow and Pytorch
• Experience with deploying highly robust and scalable data pipelines processing petabytes of data
• Experience in managing mission critical services with high throughput and low latency
• Experience with integrating applications and platforms with cloud technologies (i.e, AWS and GCP)
• Strong verbal and written communication skills
• Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users
• Experience with machine learning platform for search & discovery related rankings is a strong plus

Pay & Benefits

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.

The base pay for this position ranges from $174,000K/year to $299,000K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

General Description of All Benefits

• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• Paid Parental leave
• Pre-tax commuter benefits
• MTV - [Free] Electric Car Charging Station

General Description of Other Compensation

"Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale. 

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice

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

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers.

If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

Job Requisition ID: R0069890

Please complete the attached Internal Transfer Request Form and submit.  

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

• Proactively drive the execution of end-to-end data platform, data quality roadmap for Search & Discovery ML efforts
• Take ownership, consolidate and optimize the Search & Discovery core data logging, processing, and ML model training pipelines
• Develop and scale data infrastructure that powers batch and real-time data processing, monitoring, and debugging for ML experiments
• Drive design and implementation of scalable ML based ranking system and online ML inference services
• Build strong cross-functional partnerships with Data Scientists, Analysts, Product Managers, Indexing Platform Engineers, Ranking Engineers and Data Platform Engineers to understand both the offline and online needs and deliver on those needs
• Research, analyze and select technical approaches for solving difficult and challenging development and integration problems, coach and mentor other engineers in process and methodologies

Basic Qualifications

• Bachelor's degree in computer science, electrical engineering, mathematics, statistics or
  closely related fields
• 8 years of professional experience in applied machine learning
• Experience in machine learning, deep learning, and statistical modeling
• Proficiency in Python and/or Java, with experience in building production grade ML
  systems

Preferred Qualifications

• Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning)
• Experience with Big Data tools and ETL frameworks (Hadoop, Hive, Presto, Spark, Scala, Apache Airflow, etc.)
• Experience with ML frameworks such as Tensorflow and Pytorch
• Experience with deploying highly robust and scalable data pipelines processing petabytes of data
• Experience in managing mission critical services with high throughput and low latency
• Experience with integrating applications and platforms with cloud technologies (i.e, AWS and GCP)
• Strong verbal and written communication skills
• Ability to conduct meetings and make professional presentations, and explain complex concepts and technical material to non-technical users
• Experience with machine learning platform for search & discovery related rankings is a strong plus

Pay & Benefits

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.

The base pay for this position ranges from $174,000K/year to $299,000K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

General Description of All Benefits

• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• Paid Parental leave
• Pre-tax commuter benefits
• MTV - [Free] Electric Car Charging Station

General Description of Other Compensation

"Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice

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

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate. Coupang is also committed to providing a safe work environment for its employees and its consumers.

If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

Job Requisition ID: R0069890

Please complete the attached Internal Transfer Request Form and submit.  

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

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

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

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

Role Overview

We are seeking a highly skilled Senior Staff Software Engineer with deep technical expertise in Security and a passion for building secure, reliable, and scalable systems. This role focuses on technical leadership, architecture, and hands-on development to ensure the security and resilience of our core platforms.

You will drive the security, quality, and reliability of backend systems while influencing architecture decisions, mentoring engineers, and partnering with product teams on strategic initiatives.

What You Will Do

• Architect and implement secure, scalable backend systems using Java (Spring Boot) and AWS cloud-native services.
• Lead technical design reviews, enforce security best practices, and ensure system reliability and performance.
• Develop and integrate security features such as authentication, authorization, and identity management (SSO, OIDC, RBAC/ABAC, SCIM).
• Design and implement API security patterns and API authorization at scale for microservices and service mesh environments.
• Embed Generative AI capabilities (e.g., embeddings, RAG, LLM APIs) into product workflows securely and responsibly.
• Write and review code, unblock complex technical challenges, and make critical architectural decisions.
• Champion secure SDLC practices, cryptography standards, and compliance requirements.
• Collaborate with cross-functional teams to define technical roadmaps and deliver mission-critical systems at scale.

Minimum Qualifications

• Bachelor’s degree in Computer Science or related technical field.
• 8 years of professional software development and security engineering experience.
• Proven experience designing and developing large-scale distributed systems.
• Strong knowledge of security architecture

Preferred Qualifications

• Recent hands-on experience (last 3–4 years) building secure, distributed systems at scale, with strong exposure to AI/ML development and hosting in production environments.
• Experience with cloud platforms (AWS, Azure, GCP) for identity, ML infrastructure, and secure deployment.
• Familiarity with Generative AI integration and responsible implementation of LLM-based workflows.
• Exposure to data security principles, including encryption, secure data pipelines, and compliance frameworks.
• Ability to influence technical direction and mentor engineers in security best practices.
• Proven track record of delivering mission-critical, scalable systems in production at enterprise scale.
• Expertise in Java, Spring Boot, and AWS architecture/services (EKS, S3, Lambda, RDS, IAM, KMS).
• 7+ years of solid experience with fundamental algorithms, system design, and large distributed systems.
• Deep experience in cryptography and PKI systems, including certificate management and secure key lifecycle
• 7+ years of coding experience, specifically in Java.
• Strong knowledge of security architecture, authentication/authorization, and cryptographic principles.
• Hands-on experience in building large-scale serving and data infrastructure.
• Experience with service-oriented architecture and web application/services development
• Practical experience in utilizing AWS (Amazon Web Services).
• Experience in designing and constructing machine learning-based applications and systems.
• Experience in leading cross-team system design and execution.

Pay & Benefits   

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. 

The base pay for this position ranges from $174,00/year to $299,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

General Description of All Benefits  

• Medical/Dental/Vision/Life, AD&D insurance  
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• Paid Parental leave
• Pre-tax commuter benefits
• MTV - [Free] Electric Car Charging Station 

General Description of Other Compensation

 “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.  

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice

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

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

Job Requisition ID: R0067878

About the role:

The Select (Majors) Accounts sales team is responsible for revenue growth in the new and existing customers that represent the largest prospective Enterprise accounts for Samsara by total addressable opportunity. You should be an energetic evangelist and passionate about introducing a transformative new technology into the market. You should have a history of over-achievement and be comfortable selling into all levels of an Enterprise organisation, including technology and lines of business.

Whilst we do support remote working, flexibility is required to travel to visit customers onsite across the region as required.

You should apply if: 

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• Your mantra is #alwaysbeprospecting: The world of operations is vast. Your customers are often out in the field and the best way to catch them is live on the phone. Samsara’s top reps do constant research to find companies and contacts to expand their pipeline.
• You have innate curiosity in how businesses work: One day you’ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support in order to make a larger impact. 
• You are a life-long learner: Samsara sales are complex. You will need to learn about businesses where you previously had little knowledge. The payoff is big but you have to be willing to put in the work. 
• You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven’t been met with the type of technology we offer. Our customers value earned trust and human relationships built over time.
• You want to be with the best: Samsara’s high-performance Sales culture means you’ll be surrounded by the best and challenged to go farther than you have before. 

In this role, you will:

• Develop Executive-Level relationships within strategic, named accounts 
• Own customer engagements end-to-end, from prospecting and qualification to close
• Demonstrate excellent solution-based sales process in complex sales campaigns
• Mobilize a large matrix virtual team of business stakeholders to include Operations, Finance, IT, dedicated Solution Engineer and Account Development Representative
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Minimum requirements for the role:

• 7+ years experience in a full-cycle, closing sales role
• Proven track record of consistent quota over-achievement, in complex accounts, with $1M+ ARR transactions
• Experience handling and owning enterprise deal sizes and C-Level relationships
• Strategic pursuit experience and comfortable with targeted prospecting, a new logo winner who lives the Hunter mentality
• Excellent interpersonal skills, demonstrated ability to thrive in a dynamic, fast-paced environment
• Team player, with a collaborative, growth mindset
• Fluent French and very good English language skills 

An ideal candidate also has:

• Awards for top achievement (President’s club, Winner’s circle, Top 10%)
• Passionate about transformational technology in the world operations 
• Excited about solving new problems in innovative ways 
• Experienced in selling complex technology solutions (e.g. IoT, SaaS, Telco or similar) to Enterprise customers

About the Team

Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform team is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Software Engineer, Content Platform who can drive further innovation.

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our capabilities.

We are seeking a highly experienced and skilled Senior Software Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that handle large-scale data effectively. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, as well as a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better.

For California Only - The estimated annual salary for this position is between $300,000 - $425,000 annually.  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.  This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

Design and Development:

• Architect, develop, and maintain scalable backend systems and APIs using Java and Akka.
• Build distributed data pipelines for batch and real-time data processing.
• Design efficient and scalable systems that process large volumes of data.

Big Data Expertise:

• Leverage big data technologies such as, Apache Spark, Kafka, Flink, and related tools to build high-performance data pipelines.
• Work on data transformation, ingestion, and integration for both structured and unstructured data.
• Implement solutions for data lake and data warehouse integrations.

Real-Time Processing:

• Develop and maintain real-time data processing applications to support business-critical use cases.
• Optimize real-time data flows for low latency and high throughput.

Java Expertise:

• Write clean, efficient, and reusable code in Java, adhering to industry best practices.
• Optimize Java applications for performance, scalability, and reliability.
• Leverage Java frameworks such as Spring Boot for backend development.

Monitoring and Optimization:

• Monitor, troubleshoot, and optimize backend and data systems to ensure high availability and reliability.
• Design and implement performance tuning strategies for large-scale distributed systems.

We're excited if you have

• 7+ years of experience in backend development and distributed data processing.
• Proven expertise in designing and building scalable systems with Java.
• Hands-on experience with Big Data technologies such as Spark, Kafka, and Flink.
• Proficiency in Java and Java-based frameworks (Spring, Spring Boot, etc.).
• Strong understanding of distributed systems and microservices architecture.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Knowledge of SQL and NoSQL databases (e.g., DynamoDB, or Aerospike).

#LI-JC5

About the Team

The Enterprise Engineering team builds and maintains the internal tools and platforms that power Roku's business operations, from accounting and finance systems to partner management and content operations. We work at the intersection of technology and business, delivering full-stack web applications that enable Roku to operate at scale. Our team values pragmatic engineering, high-quality test coverage, and leveraging AI to ship faster without sacrificing reliability.

About the Role

We are looking for a Senior Software Engineer with deep backend expertise in TypeScript/Node.js to join our Enterprise Engineering Web Applications team. You will design, build, and maintain backend services and APIs that support Roku's first-party enterprise tools with a focus on the accounting and finance domain. You'll also contribute to frontend development using modern frameworks and own end-to-end quality through test automation.

This is an AI-first engineering role. You will be expected to integrate AI tools and agentic workflows into your daily development process, using them to accelerate delivery, improve code quality, and build smarter internal tools.

What You'll Be Doing

• Design and implement backend services and APIs in TypeScript/Node.js
• Build and maintain full-stack enterprise applications supporting accounting, finance, and business operations
• Architect solutions that are reliable, maintainable, and scalable for internal business-critical workflows
• Own end-to-end test automation by building and maintaining E2E test suites
• Collaborate with finance and accounting stakeholders to translate business requirements into technical solutions
• Use AI coding tools (Claude, Copilot, OpenCode, etc.) as core parts of your development workflow
• Build and improve internal developer tooling, automation, and agentic workflows
• Participate in technical design discussions, and mentoring of team members

We're Excited If You Have

• 7+ years of relevant software development experience
• Strong backend development expertise in TypeScript and Node.js, with Java and Python experience nice-to-have
• Experience building and shipping production web applications with modern frameworks (React, Next.js, or similar)
• Hands-on experience with end-to-end test automation frameworks (Playwright, Cypress, or similar)
• Experience with relational databases (PostgreSQL, MySQL) and data modeling
• Experience with cloud platforms (AWS, GCP, or Azure)
• Experience with Kubernetes
• Experience in a globally distributed team

#LI-JB6

About the team

Roku pioneered in developing operating system for TVs. Tv Technology team within Roku TV NPI group is focused on building TVs with best Audio Quality , Picture Quality and Enable innovation technology.
With tens of million TVs sold across many countries, thousands of streaming channels and billions of hours watched over the Roku TVs, having best Audio Quality & Picture Quality is crucial.

About the role

Roku TV Technology SW team work closely Display , Picture Quality and NPI Team to enable new features for Roku TV. As Senior Software Engineer working on Video processing software, you will develop video post processing software , enable RokuTVs with new features,  develop scalable solution for multiple Roku TV platforms. Be a team player and support on going Roku TV video processing projects and innovation projects for next generation Roku TVs. 

What you will be doing

• Embedded/Linux Software Development
  • Design, develop, and maintain software for Linux based TV system.
  • Work on drivers, middleware, and application layers to ensure seamless integration of picture quality&display related feature
• Video/Image Processing
  • Implement algorithms and solutions for video / image post processing enhancement
• System Integration and Optimization
  • Collaborate with cross-functional teams (hardware, QA, and product) to ensure end-to-end system performance.
  • Debug and resolve system-level issues, ensuring robust and reliable operation under various use cases.
• Development Environment and Tools
  • Use tools like Git, JIRA, and CI/CD pipelines to manage code, track progress, and maintain high-quality deliverables.
  • Conduct performance profiling and testing using appropriate debugging and analysis tools.
• Documentation and Reporting
  • Prepare technical documentation, including design specifications, test plans, and user manuals.
  • Report progress and technical challenges to stakeholders.
    

We're excited if you have

• Hands-on experience with embedded systems development, preferably in the TV or related consumer electronics industry.
• Proficiency in Linux operating system internals, including device drivers, kernel modules, and user-space programming.
• Strong programming skills in C/C++ and scripting languages like Python or Shell.
• Background video/image post processing.
• Familiarity with hardware interfaces and protocols (e.g., I2C, SPI, HDMI, etc. ).
• Strong problem-solving and analytical abilities.
• Excellent communication and collaboration skills.
• Adaptability and eagerness to learn new technologies.
• Knowledge of SoC architectures used in multimedia devices is a plus.
• Experience in GPU/CPU acceleration for video processing is a plus.

#LI-AK1

About The Role 

With millions of users worldwide, our products have earned a reputation for "just working" seamlessly right out of the box, almost like magic. This seamless experience is no accident; it's a testament to our commitment to creating products that are not just intuitive but downright obvious. At the heart of this commitment is the Roku OS QA Team, dedicated to rigorously testing every product and feature to ensure we deliver the most reliable streaming media platform in the industry.

Our mission is simple: help people effortlessly find and stream the content they love. We achieve this through cutting-edge technology and engineering, always putting the customer at the center of everything we do.

About the Team

As part of our team, you'll leverage your diverse skills to support both Software Engineers and QA Engineers, tackling the daily challenges of their roles. Your specialist knowledge, combined with the use of AI technologies, will be invaluable in suggesting improvements to enhance quality and streamline workflows, ensuring we continue to exceed our customers' expectations.

What you'll be doing

• Contribute to tools and technology
• Design, develop, and maintain AI-driven automation systems
• Collaborate with data scientists, software engineers, and product teams to understand and deliver AI-based solutions.
• Build new tools and technology
• Debug failing tests to improve the quality of automated test tools and frameworks
• Conduct code reviews for improve code quality and optimization
• Promote coding conventions and standards for code re-usability and cleanliness
• Assist in monitoring and maintenance of critical systems

We're excited if you have

• 3+ years of hands-on experience with automation systems
• 3+ years of Python programming experience
• 2+ years of experience developing test plans and test cases
• Ability to write simple Python scripts to preprocess data or interact with ML APIs.
• Bachelor’s degree in Computer Science or related
• Excellent verbal and written communication skills
• Experience working with remote teams
• Some knowledge of continuous integration tools (Jenkins/Hudson, TeamCity, Maven, Gradle)
• Hands on experience and proficiency in Linux/Unix systems
• Ability to learn new technologies quickly
• A self-directed professional able to work independently
• Previous experience with Non-Functional Testing (Performance Testing, Stress Testing)

#LI-AB3

About the team

The TV Technology team within the Roku TV New Product Introduction (NPI) group focuses on delivering the best Audio Quality (AQ) and Picture Quality (PQ) and driving innovation. With tens of millions of TVs sold globally, thousands of channels, and billions of hours streamed on Roku TVs, worldclass AQ and PQ are essential. 

About the role

We are seeking a Senior Quality Assurance Engineer to join the TV Technology team, based in Shenzhen. As a Senior Quality Assurance Engineer, you will be focused on helping our TV partners build the most desirable and best Smart TVs available. Your expertise in AQ and/or PQ will be utilized to help achieve the best possible audio and picture performance on specific mass-produced TV models by working closely with our TV partners, SOC vendors, and Roku TV engineers. You will also work on optimize and drive automation for existing audio and/or picture test strategies, e.g. by using AI and automation solutions to enhance efficiency and coverage.

What you will be doing

• Design, document, and execute test cases for AQ and/or PQ new feature verification, ensuring comprehensive test coverage and high-quality deliverables.
• Collaborate closely with dev engineers to debug issues, perform iterative testing, and drive feature quality throughout the product lifecycle.
• Continuously optimize AQ and/or PQ test strategies, identifying areas for improved efficiency, coverage, and risk-based testing approaches.
• Develop, maintain, and enhance automation scripts (primarily in Python) to increase test efficiency and maintain a sustainable automation framework.
• Contribute to test documentation, including test plans, test guides, and knowledge transfer materials for NPI manufacturing and release QA teams.
• Participate in technical discussions with stakeholders to align testing efforts with product roadmaps and business priorities.

We’re excited if you have

• 7+ years of experience in software quality assurance, with a focus on embedded systems, consumer electronics, or TV industry background.
• Hands-on experience in AQ and/or PQ testing, with a solid understanding of related test methodologies and industry standards.
• Proven ability to debug complex issues, work closely with development teams, and drive quality improvements across cross-functional organizations.
• Strong automation skills, particularly with Python scripting, and a proven track record of developing and maintaining automated test cases.
• Good English communication skills (both spoken and written) with the ability to participate in daily technical discussions and collaborate with global teams.
• Self-motivation and a proactive attitude, with the ability to work independently in a fast-paced, dynamic environment.
• An open mindset toward AI technologies – even without prior hands-on AI experience, a strong willingness to learn and explore AI applications in QA is highly valued.
• Experience with test automation frameworks and CI/CD integration.
• Familiarity with SoC partner engagement or factory support in consumer electronics manufacturing.
• Knowledge of AI/ML-based testing tools or data-driven testing approaches.

#LI-GW1

About the role

AI is fundamentally reshaping how work gets done. As intelligent assistants, automation, and agentic workflows become embedded across the enterprise, the opportunity is no longer simply deploying tools — it is engineering a work environment that enables employees to operate with greater focus, speed, and impact. 
 
Roku is seeking a Director of Productivity Engineering to lead the strategy, design, and evolution of our enterprise productivity ecosystem. This leader will shape how thousands of employees collaborate, execute, and make decisions by optimizing the systems, workflows, and digital environments that power daily work. 
 
This is a highly strategic role operating at the intersection of technology, employee experience, and operational effectiveness. You will be responsible for building a measurable productivity capability — leveraging data, AI, and modern workplace platforms to reduce friction, improve focus, and unlock organizational capacity. Productivity is a strategic lever for scaling the business. 
 
The ideal candidate is a systems thinker who understands that productivity is not driven by tools alone, but by intentionally designing how work happens. 

For California Only - The estimated annual salary for this position is between $350,000 - $474,600 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off. 

What you'll be doing

• Define and lead Roku’s enterprise productivity strategy, optimizing how work happens across the organization. 
• Engineer a cohesive productivity ecosystem spanning collaboration platforms, workflow tools, knowledge systems, and AI-enabled capabilities. 
• Establish productivity telemetry and measurement frameworks that provide leaders with visibility into organizational effectiveness. 
• Identify structural friction in how teams operate and design interventions that improve speed, clarity, and execution. 
• Partner with senior leaders to evolve operating norms that support modern, AI-enabled ways of working. 
• Drive intelligent adoption of emerging technologies — including AI assistants and automation — to enhance employee effectiveness. 
• Rationalize the productivity technology landscape, reducing complexity while improving employee experience. 
• Build and lead a high-performing team responsible for enterprise productivity platforms and services. 
• Serve as a thought partner to executive leadership on Roku's future of work. 

We're excited if you have

• 15+ years of experience leading enterprise platforms, digital workplace, productivity, or internal technology products. 
• 5+ years of leadership experience with a track record of building high-performing teams. 
• Demonstrated success designing operating models or large-scale workflow improvements. 
• Strong systems thinking with the ability to connect technology decisions to business outcomes. 
• Experience leveraging AI or automation to improve organizational effectiveness. 
• Exceptional executive presence and ability to influence senior stakeholders. 
• Data-driven mindset with experience establishing metrics and translating insights into action. 
• Comfort operating in ambiguous environments and shaping new capabilities from the ground up. 

#LI-SR2

About the team

With so many people using Roku’s products globally, we’ve become well-known for products that “just work” right out of the box and integrate almost by magic.  That doesn’t happen by accident, which is why we are committed to making sure our products aren’t just intuitive; they’re obvious.  To support that commitment, the Roku’s Automation support and Tools team focuses on providing innovative and impactful tools that improve efficiency, enhance productivity of all engineering to test Roku products, from industry’s most reliable streaming media platform to smart home products that seamlessly integrate with Roku entertainment OS for a great connected home user experience. We accomplish this using state of the art technology and engineering to make it happen, with consideration for the customer as the centre of all that we do.

Roku’s embedded software automation and tools team has an excellent opportunity for a Senior Software Engineer with strong experience in building automation framework and tools for embedded devices. The role involves developing and maintaining software and tools that help various internal teams to test and manage Roku’s products. Working closely with internal stakeholders to enhance existing automation toolset with new capabilities and advanced features that empower all engineering and accelerate validation efforts for SW releases. 

About the role

You will work cross-functionally with various engineering teams, using your automation tooling expertise to help both firmware developers and QA to create and deliver the highest quality products that provide valuable end-user feedback to improve customer experience. This position requires Python expertise with strong experience using web frameworks, excellent debugging, written, and organizational skills. You will be joining a talented, high-performance team of developers with a history of delivery. We are looking for someone who can help us maintain this pace and continue delivering high quality as we grow. 

We are looking for a keen problem solver and a self-motivated individual with excellent communication and collaborative skills who is eager to learn and grow in the consumer electronics space. As an engineer on the team, you will require the skills and confidence to undertake the challenges of working in a fast-paced environment, frequently be taken out of your comfort zone, and relish getting your hands dirty working with user-facing products. 

What you will be doing:

• Develop and release new E2E automation support and tools 
• Debug issues to improve the quality of automated test tools and frameworks 
• Conduct code reviews to improve code quality and optimization 
• Promote coding conventions and standards for code re-usability and cleanliness 
• Document feature guides, identify and formulate user requirements, and define product behavior 
• Support and maintain existing automation tools and technology 
• Mentor less experienced engineers and drive automation development 
• Assist in monitoring and maintenance of critical systems 
• Champion the adoption of AI tools and technologies to enhance automation capabilities and team productivity. 
• Review and provide technical feedback on design documents and high-level architecture diagrams across multiple tools and teams, with a focus on evaluating design trade-offs, scalability, maintainability, and alignment with overall system architecture. 

We're excited if you have:

• 10+ years of hands-on experience with automation systems 
• 10+ years of programming experience, preferably with Python 
• Bachelor’s degree in computer science or related field 
• Proficient in Linux, Python-based test automation frameworks, and tools using REST APIs 
• Hands-on experience in development/integration of E2E test automation frameworks and tools for embedded software devices 
• Proficient use of AI tools and technologies with a proven track record as a promoter and advocate for AI adoption in software development and testing automation. 
• Agentic workflow familiarity: Working knowledge of multi-step AI orchestration frameworks and the practical use of AI agents to support and streamline day-to-day development workflows. 
• Experienced in developing and maintaining web-based tools using JavaScript and React/Next.js 
• Experience with DevOps and continuous integration tools (Jenkins, GitLab CI, Docker, and Kubernetes) 
• Experience with CI/CD pipeline development and deployment via AWS or GCP cloud technologies 
• Experience with unit testing frameworks – pytest/pyunit and Cypress for UI testing 
• Experience developing web applications using Flask, FastAPI, Django, and Nginx 
• Knowledge in using AI for increasing test automation coverage and productivity 
• Experience with retail Consumer Electronic (CE) devices, ideally in the Over The Top (OTT) streaming domain 
• Expert problem-solving and technical troubleshooting skills 
• Ability to learn new technologies quickly 
• A self-directed professional able to work independently 
• Ability to work through ambiguous requirements and be flexible/adaptable to change 
• Comfortable and experienced working with cross-functional peers and internal stakeholders across European and US time zones 
• Excellent communication and collaborative skills 

Additional nice to have skills: 

• Previous experience with Non-Functional Testing (Performance Testing, Stress Testing) 
• Knowledge of network technologies and libraries such as TCP/IP and HTTP 
• Experience with database technologies (MySQL, PostgreSQL, MongoDB, Redis) for test data management 
• Familiarity with monitoring and observability tools (Grafana, Prometheus, ELK stack, Datadog) 
• Knowledge of streaming protocols and technologies (HLS, DASH, RTMP, WebRTC) 
• Experience with API testing tools (Postman, REST Assured, GraphQL) 
• Understanding of security testing principles and tools (OWASP, penetration testing) 
• Experience with mobile testing frameworks and cross-platform testing 
• Familiarity with test reporting and analytics platforms (Allure, TestRail, ReportPortal) 
• Experience with infrastructure as code (Terraform, Ansible, CloudFormation) 
• Knowledge of machine learning concepts for test optimization and predictive analysis 
• Familiarity with Agile/Scrum methodologies and project management tools (Jira, Confluence) 
• Basic understanding of hardware debugging tools and techniques for embedded systems 

#LI-AB3

About the Team

Roku’s Voice Team aims to develop the best voice system for TV.  We enable users to perform tasks hands-free using voice, such as searching for movies or turning on their TV and launching content.  Multiple languages are supported, and our technology also enables Roku’s IOT devices to be controlled by voice.

About the Role

The Senior Technical Program Manager (TPM) for Roku Voice will own the planning and execution of complex, cross‑functional programs that deliver high‑quality voice features and infrastructure at scale. You will be the central coordination point across Voice Engineering, UX, PM, Analytics, QA, and external partners, ensuring that priorities are clear, roadmaps are realistic, and launches are smooth.

What you’ll be doing

• Lead end‑to‑end planning and execution of major Roku Voice programs (e.g., new voice capabilities, regional expansions, infrastructure upgrades), from concept through launch and post‑launch iteration
• Own program structure: requirements, milestones, dependencies, risk management, communication plans, and status reporting across engineering, analytics, QA, and partner teams
• Drive alignment on priorities and scope across teams; ensure that upstream and downstream dependencies are understood and managed
• Coordinate with external voice technology partners and internal platform teams, ensuring integration plans, SLAs, and release timelines are well defined and met
• Track progress of builds, engineering changes, and issue closures with urgency and attention to detail
• Establish and continuously improve program management processes and tooling for the Voice org
• Communicate clearly and crisply at all levels of the organization, from engineers to VP+ stakeholders, including regular status, risks, and trade‑offs
• Anticipate and surface risks early; drive mitigation plans and make data‑informed recommendations on resourcing, sequencing, and scope

We're excited if you have

• 5+ years  of technical program management, engineering management, or equivalent experience delivering complex software or ML‑driven products
• Demonstrated experience leading cross‑functional programs that span multiple engineering disciplines (e.g., backend services, ML, data, or platform teams)
• Strong familiarity with at least one of: machine learning, speech/ASR, NLU/NLP, or large‑scale data/experimentation. You do not need to be an ML engineer, but you must be comfortable engaging deeply with technical details
• Proven track record of driving programs from inception to launch, including requirements definition, roadmap planning, risk management, and post‑launch iteration
• Excellent communication and stakeholder management skills; able to drive clarity and decisions among senior leaders and distributed teams
• Hands‑on experience with modern program management and collaboration tooling, including the use of GenAI
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Preferred Qualifications

• Experience in consumer devices, streaming, voice assistants, or other user‑facing ML products
• Experience working with geographically distributed teams and external technology partners

#LI-SB5

About the Team

The International TV Software team at Roku develops and delivers software for television platforms across international markets, with a focus on Europe and Australia. The team works closely with SOC partners to bring new TV products to market, develops software to meet regional broadcast standards, and supports certification with organizations such as ETV, the BBC, and DTG. The team operates across both new platform development and common software development projects, contributing to greenfield features as well as the ongoing evolution of Roku’s international TV software ecosystem. It is a collaborative, cross-functional team that values engineers who are curious, adaptable, and motivated to understand the full breadth of the systems they work on.

About the Role

As a Software Engineer on the Regional TV Software team, you will contribute to the development and delivery of software for regional TV platforms, working on both new TV platform projects and new software development projects. You will collaborate with SOC vendors, support certification processes with UK and European broadcast organizations, and help define and build new software features. This is a great opportunity for an engineer early in their career who is curious, collaborative, and motivated to grow across multiple areas of a complex software system.

What You’ll Be Doing

• Developing and maintaining software for regional TV platforms, with a focus on markets in Europe and Australia
• Collaborating with SOC vendors to support new TV projects and resolving Roku-specific technical issues
• Supporting certification processes with organisations such as ETV, the BBC, and DTG
• Contributing to new software projects, including requirements definition, software design, and implementation
• Developing primarily in C++, with contributions in C, Python and Javascript as-needed
• Porting and adapting software to meet regional standards and specifications, including HbbTV
• Troubleshooting technical issues across the software stack and working cross-functionally to resolve them
• Participating in greenfield feature development as part of new TV platform launches

We’re Excited If You Have

• 6+ years Experience with C and/or C++ in a commercial environment
• Familiarity with Python
• An interest in or exposure to embedded systems or low-level software development
• A systems-level mindset — curiosity about how different parts of a system interact and a desire to learn broadly
• Exposure to Linux environments (a plus, but not required)
• Familiarity with HTML or browser-based development (a plus, but not required)
• 6+ years of commercial software engineering experience, or equivalent demonstrated through projects, internships, or academic work
• Strong problem-solving skills and a collaborative approach to working through technical challenges

#LI-NM1

About the team

With so many people using Roku’s products globally, we’ve become well-known for products that “just work” right out of the box and integrate almost by magic. That doesn’t happen by accident, which is why we are committed to making sure our products aren’t just intuitive, they’re obvious.  To support that commitment, the Roku’s Automation support and Tools team focuses on providing innovative and impactful tools that improve efficiency, enhance productivity of all engineering to test Roku products, from industry’s most reliable streaming media platform to smart home products that seamlessly integrate with Roku entertainment OS for a great connected home user experience. We accomplish this using state of the art technology and engineering to make it happen, with consideration for the customer as the centre of all that we do.

About the role

The Roku’s software automation and tools team has an excellent opportunity for a Senior Software Engineer with strong experience in building automation framework and tools for SW embedded devices. The role involves developing and maintaining software and tools that help various internal teams to test and manage Roku’s products. Working closely with internal stakeholders to enhance existing automation toolset with new capabilities and advanced features that empower all engineering and accelerate validation efforts for SW releases.

You will work cross-functionally with various engineering teams, using your finest automation expertise to help both FW developers and QA to create and deliver highest quality product that help in provide valuable end-user feedback to improve customer’s experience.  This position requires python expertise with strong experience of using web frameworks, excellent debugging, written and organizational skills. You will be joining a talented, high-performance team of developers with a history of delivery.  We are looking for someone who can help us keep up this pace and continue delivering high quality as we grow.

We are looking for a keen problem solver and a self-motivated individual with excellent communication and collaborative skills who is eager to learn and grow in consumer electronics space. As an engineer on the team you will require skills and confidence to undertake the challenges of working in a fast-paced environment, frequently be taken out of your comfort zone and relish getting your hands dirty working with user facing products

What you'll be doing

• Support and maintain existing automation tools and technology
• Develop and release new E2E automation support and tools
• Debug issues to improve the quality of automated test tools and frameworks
• Conduct code reviews to improve code quality and optimization
• Promote coding conventions and standards for code re-usability and cleanliness
• Document Feature guides, identify and formulate user requirements, product behavior
• Mentor less experienced engineers and driving automation development
• Assist in monitoring and maintenance of critical systems

We're excited if you have

• 5+ years of hands-on experience with automation systems
• 5+ years of programming experience, preferably with Python
• Bachelor’s degree in Computer Science or related
• Proficient in linux, Python based test automation frameworks and tools using REST APIs
• Hands on experience in development/integration of E2E test automation framework and tools for embedded software devices
• Experienced in developing and maintaining web based tools using Javascript, React
• Proficiency with DevOps, continuous integration tools (Jenkins, Gitlab CI, Teamcity, Docker and Kubernetes)
• Experience with CI/CD pipeline development and deployment via AWS or GCP cloud technologies
• Experience with Unit Testing frameworks – pytest/pyunit and cypress, playwright for UI testing
• Experience of developing web applications using Flask, FastAPI, Django, Nginx
• Experience and knowledge of using generative AI
• Expert problem-solving and technical troubleshooting skills
• Ability to learn new technologies quickly
• A self-directed professional able to work independently
• Ability to work through ambiguous requirements and being flexible/adaptable to change
• Comfortable and experienced working with cross-functional peers and internal stakeholders across European and US timezones
• Excellent communication and collaborative skills
• Experience with retail Consumer Electronic (CE) devices, ideally in the Over The Top (OTT) streaming domain
• Previous experience with Non-Functional Testing (Performance Testing, Stress Testing)
• Knowledge of network technologies and libraries such as TCP/IP and HTTP
• Previous experience and knowledge of image processing and inferencing, creating computer vision capabilities for visual testing

#LI-AB3

About the team

The Advanced Development organization pushes beyond product line boundaries to build new things. We think independently of standard shipping cadences and timelines, working on foundational technologies that will impact every Roku device in the future, and on ideas that no one has seen before in their living room.

We are responsible for driving the architecture of Roku OS, which ships worldwide and runs on devices in more than 85 million streaming households.  This work can include anything from optimizing common libraries to redesigning the APIs and development environment used by third-party apps running on our platform.  We work hard to ensure our software is optimized across a wide range of platforms, and we are super focused on maximizing customer experience.

About the role

In this role, you will be part of the team responsible for driving modular enhancements to the RokuOS architecture and for providing new ways for channel partners to leverage the modernized experience. You will implement new APIs for parts of Roku's system software and use your refactoring expertise to ensure that the APIs' capabilities satisfy all requirements without any privileged workarounds.

We are looking for a forward thinker, one who has endless curiosity, uses AI, and demonstrates a strong bias for action.

What you’ll be doing

• Design and evolve parts of the RokuOS system software that expose fundamental APIs for the Roku platform, used internally/externally for higher-level SDKs
• Demonstrate excellence in C++ development and deliver high-performance, ultra-reliable software
• Work cooperatively and coordinate small teams to deliver new features on time
• Demonstrate impeccable software design skills, make extensive changes to an existing C++ code base that are modular and maintainable

We’re excited if you have

• 8+ years of experience in software development, architecture, and API design
• 2+ years of Linux application development
• Ability to accurately estimate software tasks and work to schedule
• Extensive experience in C++20, gdb, git, and adjacent tooling
• Experience with multi-threaded and multi-process development
• Detail-oriented, analytical, methodical, and self-driven
• Bachelor’s and/or master’s degree in computer science, computer engineering, or related technical discipline

Preferred Qualifications:

• Experience serving as a technical lead throughout the software development lifecycle
• Practical knowledge of application architecture and design patterns

#LI-SB5

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 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following ScyllaDB and Aerospike (preferred). 

• 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 data modeling, schema design, and data visualization tools. Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred) 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

#LI-GL1

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 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following ScyllaDB and Aerospike (preferred). 

• 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 data modeling, schema design, and data visualization tools. Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred) 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

#LI-GL1

About the Team 

The Ads Analytics 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 business teams. 

We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization 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 high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using 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. 

You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. 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 applications and services with 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 and tests, 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 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least 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. 

• Strong programming skills in Java, Python, or Scala.

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Expertise in data modeling, schema design, and data visualization tools.

• Experience building highly scalable, low-latency, APIs.

• Exceptional problem-solving abilities and the capacity to work both independently and collaboratively as needed. 

• Exceptional 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 campaign measurement. (preferred)

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred) 

• Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)  

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

About the Team 

The Ads Analytics 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 business teams. 

We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization 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 high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using 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. 

You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. 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 applications and services with 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 and tests, 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 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least 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. 

• Strong programming skills in Java, Python, or Scala.

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Expertise in data modeling, schema design, and data visualization tools.

• Experience building highly scalable, low-latency, APIs.

• Exceptional problem-solving abilities and the capacity to work both independently and collaboratively as needed. 

• Exceptional 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 campaign measurement. (preferred)

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred) 

• Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)  

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

About the team

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role 

In this role you will build teams focused on the Ads Auction and Marketplace to optimize yield, gross profit, perform realtime multi-objective optimization across various short and long term objectives, build control and simulation systems, design and run experiments and extend the experimentation framework. 

You will partner closely with other Engineering, Inventory and Product teams to define the vision and strategy for your group and to build and deliver the roadmap.

What you’ll be doing

• Lead the design, implementation, and evolution of real-time ads auction systems powering Roku’s CTV advertising across The Roku Channel and the Roku platform.
• Own and enhance core auction capabilities including ad pod construction, bid evaluation, ranking, pricing, pacing, budget enforcement, and frequency capping.
• Build low-latency, highly reliable distributed services that operate at massive scale, serving billions of ad opportunities with strict latency and uptime requirements.
• Design auction logic that balances viewer experience (ad load, relevance, repetition) with advertiser performance, publisher yield, and platform revenue.
• Develop and optimize SSP-side auction mechanisms, integrating with multiple DSPs, programmatic demand sources, and direct-sold campaigns.
• Partner closely with product managers, data science, ads research teams to translate marketplace and monetization goals into scalable technical solutions.
• Drive yield optimization through auction design, demand shaping, floor strategies, and pricing experiments.
• Lead experimentation using A/B testing, auction simulations, and offline replay frameworks, and make data-driven decisions based on performance metrics and statistical rigor.
• Ensure auction correctness, fairness, explainability, and transparency, while maintaining compliance with privacy, regulatory, and brand-safety requirements.
• Influence the long-term technical roadmap for Roku Ads by proposing architecture improvements, scalability strategies, and performance optimizations.

We are excited if you have

• 5+ years of experience building large-scale distributed systems
• 5+ years working with cloud-based platforms and infrastructure
• Deep experience in building microservices using Java for container platforms such as Docker or Kubernetes
• Solid understanding of databases SQL and NoSQL
• Hands-on Experience working with AWS, GCP or similar cloud services
• Experience with a breadth of protocols and data formats such as REST, WebSockets, HTTPS, JSON, and Protobuf
• Demonstrated ability to drive timely consensus in design with other senior team members
• Bachelors or Master's degree in Computer Science, Engineering, or equivalent

#LI-MS3

About the team

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role 

In this role you will build teams focused on the Ads Auction and Marketplace to optimize yield, gross profit, perform realtime multi-objective optimization across various short and long term objectives, build control and simulation systems, design and run experiments and extend the experimentation framework. 

You will partner closely with other Engineering, Inventory and Product teams to define the vision and strategy for your group and to build and deliver the roadmap.

What you’ll be doing

• Lead the design, implementation, and evolution of real-time ads auction systems powering Roku’s CTV advertising across The Roku Channel and the Roku platform.
• Own and enhance core auction capabilities including ad pod construction, bid evaluation, ranking, pricing, pacing, budget enforcement, and frequency capping.
• Build low-latency, highly reliable distributed services that operate at massive scale, serving billions of ad opportunities with strict latency and uptime requirements.
• Design auction logic that balances viewer experience (ad load, relevance, repetition) with advertiser performance, publisher yield, and platform revenue.
• Develop and optimize SSP-side auction mechanisms, integrating with multiple DSPs, programmatic demand sources, and direct-sold campaigns.
• Partner closely with product managers, data science, ads research teams to translate marketplace and monetization goals into scalable technical solutions.
• Drive yield optimization through auction design, demand shaping, floor strategies, and pricing experiments.
• Lead experimentation using A/B testing, auction simulations, and offline replay frameworks, and make data-driven decisions based on performance metrics and statistical rigor.
• Ensure auction correctness, fairness, explainability, and transparency, while maintaining compliance with privacy, regulatory, and brand-safety requirements.
• Influence the long-term technical roadmap for Roku Ads by proposing architecture improvements, scalability strategies, and performance optimizations.

We are excited if you have

• 5+ years of experience building large-scale distributed systems
• 5+ years working with cloud-based platforms and infrastructure
• Deep experience in building microservices using Java for container platforms such as Docker or Kubernetes
• Solid understanding of databases SQL and NoSQL
• Hands-on Experience working with AWS, GCP or similar cloud services
• Experience with a breadth of protocols and data formats such as REST, WebSockets, HTTPS, JSON, and Protobuf
• Demonstrated ability to drive timely consensus in design with other senior team members
• Bachelors or Master's degree in Computer Science, Engineering, or equivalent

#LI-MS3

About the team

This team spends most of its time working on customer focused features that improve the user experience, from content discovery and search to Roku pay and subscription to embedded software and firmware, and much more. Our product roadmap helps us accelerate our growth and scale, putting surprising new features into the hands of tens of millions of Roku users worldwide.
Our developers and engineers are owners. They are motivated from within, finding and taking on a feature or project simply because that problem needs to be solved and shipped. But that individual must work together with different engineering teams, UI design, product teams, and business leadership to make things happen, which means that engineers succeed here because they can maintain that independent spirit and motivation within a deeply collaborative environment. We are the pragmatic dreamers inventing and re-inventing the world of streaming media.

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television and streaming media worldwide, continued success stems from experienced software engineers like you developing core features for the Roku platform.
Our new Senior Software Engineer, Embedded will be contributing extensively to our embedded UI development, algorithm implementation for complex features to make it more user intuitive and underlying architecture. You will be working closely with product management to understand new features or extending current features for international market needs, development using modern C++ libraries/frameworks, scripting language and integration of third-party code. You will also be engaged in developing tools which can help larger development community within Roku. A proven track record of shipping high-quality software on embedded platforms is essential. This is a great role for a senior professional who enjoys a high level of visibility and thrives on great business impact.
The features and performance improvements you implement directly impact millions of users every day. This is a great role for an experienced professional who has innovative ideas for complex problems and can translate these ideas into ultra-reliable software.

What you’ll be doing

• Creating C++ and Embedded Linux and Native Applications
• Developing UI applications using popular frameworks such as JavaScript, BrightScript and similar languages
• Working closely with Cross Functional teams to contribute to our application development
• Developing core features for the Roku OS Application framework
• Investigating, diagnosing and resolving issues
• Writing functional and integration tests
• Designing and shipping high-quality software on the Roku embedded platform

We’re excited if you have

• Extensive experience with C or C++ and Embedded Linux or Native Application Development
• In-depth understanding of Linux, tools, libraries, and open source development
• Experience developing UI applications using popular frameworks such as ReactJS
• Experience with Python, JavaScript, BrightScript, or similar languages
• Proven track record of designing and shipping high-quality software on an embedded platform
• Experience with OpenGL, DirectX, or any other graphics APIs
• Experience writing functional and integration tests
• Good understanding of Core OS concepts like memory management and multi-threading
• A good understanding of API design, considerations and trade-offs
• Consumer electronics experience building Media/Content and/or Ad product
• Strong verbal and written communication skills (this role involves frequent communication with teams throughout Roku)
• Bachelors or Masters in Computer Science or related fields

#LI-NM1

About The Role

As a Senior Software Engineer, Android on the Roku Mobile App team, you will help shape the future of how millions of users interact with their Roku Streaming Devices. You’ll work on building intuitive, reliable, and highly performant Android experiences that allow customers to monitor and control Roku streaming devices from TVs to Players and beyond.

This role offers the opportunity to work across a modern, evolving tech stack including Kotlin, Compose, and Googles’s latest frameworks. You’ll collaborate closely with design, product, and cross-functional engineering teams to bring innovative features to life, improve performance, and make every day smart home interactions seamless.

You should be motivated by curiosity and initiative, eager to take ownership of features and run with them, while remaining grounded in a team-first, collaborative mindset.

About The Team

You will be joining a talented, high-performance team with a history of delivery. We are looking for someone who can help us keep up this pace and continue delivering high-quality app as we grow.

With so many people using our products globally, we’ve become well-known for products that “just work” right out of the box and integrate almost by magic. That doesn’t happen by accident, which is why we are committed to making sure our products aren’t just intuitive, they’re obvious

What You’ll Be Doing

• Design and build advanced applications and features for the Android platform
• Integrate with cloud APIs and local device communication protocols to control smart devices
• Write and maintain tests using frameworks such as JUnit and Espresso
• Collaborate with cross-functional teams to define, design, and ship new features for mobile devices, optimizing for touch experiences. Write well-designed, testable, and efficient code
• Debug, profile, and optimize app performance across a range of Android devices
• Participate in design and code reviews, helping elevate code quality across the team
• Stay up to date with Android platform capabilities, tools, and libraries, and propose how we can leverage them
• Contribute to roadmap planning, technical design, and release delivery

We’re Excited If You Have

• Professional Android development experience, ideally with Kotlin and/or Compose
• Strong experience shipping and maintaining production apps in the Play Store
• Proficiency in using AI tools (e.g., GitHub Copilot, ChatGPT) and experience with prompt engineering
• Experience working with IoT or networked device interactions is a big plus
• Familiarity with BLE, webs sockets, or MQTT protocols is a bonus
• Experience collaborating with cross-functional teams in agile environments
• Proficient in the Android development toolset
• Strong understanding of Android architecture, UI/UX patterns, and app lifecycle
• Excellent communication and debugging skills
• Bachelor’s or Master’s/PHD in Computer Science or related technical field

#LI-AM3

About The Role

As a Senior Software Engineer, Android on the Roku Mobile App team, you will help shape the future of how millions of users interact with their Roku Streaming Devices. You’ll work on building intuitive, reliable, and highly performant Android experiences that allow customers to monitor and control Roku streaming devices from TVs to Players and beyond.

This role offers the opportunity to work across a modern, evolving tech stack including Kotlin, Compose, and Googles’s latest frameworks. You’ll collaborate closely with design, product, and cross-functional engineering teams to bring innovative features to life, improve performance, and make every day smart home interactions seamless.

You should be motivated by curiosity and initiative, eager to take ownership of features and run with them, while remaining grounded in a team-first, collaborative mindset.

About The Team

You will be joining a talented, high-performance team with a history of delivery. We are looking for someone who can help us keep up this pace and continue delivering high-quality app as we grow.

With so many people using our products globally, we’ve become well-known for products that “just work” right out of the box and integrate almost by magic. That doesn’t happen by accident, which is why we are committed to making sure our products aren’t just intuitive, they’re obvious

What You’ll Be Doing

• Design and build advanced applications and features for the Android platform
• Integrate with cloud APIs and local device communication protocols to control smart devices
• Write and maintain tests using frameworks such as JUnit and Espresso
• Collaborate with cross-functional teams to define, design, and ship new features for mobile devices, optimizing for touch experiences. Write well-designed, testable, and efficient code
• Debug, profile, and optimize app performance across a range of Android devices
• Participate in design and code reviews, helping elevate code quality across the team
• Stay up to date with Android platform capabilities, tools, and libraries, and propose how we can leverage them
• Contribute to roadmap planning, technical design, and release delivery

We’re Excited If You Have

• Professional Android development experience, ideally with Kotlin and/or Compose
• Strong experience shipping and maintaining production apps in the Play Store
• Proficiency in using AI tools (e.g., GitHub Copilot, ChatGPT) and experience with prompt engineering
• Experience working with IoT or networked device interactions is a big plus
• Familiarity with BLE, webs sockets, or MQTT protocols is a bonus
• Experience collaborating with cross-functional teams in agile environments
• Proficient in the Android development toolset
• Strong understanding of Android architecture, UI/UX patterns, and app lifecycle
• Excellent communication and debugging skills
• Bachelor’s or Master’s/PHD in Computer Science or related technical field, or relevant professional experience. 

#LI-AM3

About the Team

The Recommendations team drives personalized experiences across our platform by leveraging state-of-the-art machine learning. Our mission is to deliver meaningful, context-aware recommendations that adapt to each user's preferences in real time. We believe that true innovation in personalization requires more than great models—it depends on a robust, flexible ML platform built for experimentation and scale. To that end, we design and build the underlying ML infrastructure, ensuring our systems remain fast, reliable, and at the forefront of technology. Our work blends innovation, engineering excellence, and a deep commitment to understanding our users, shaping how they discover and engage with content every day.

About the Role

We seek an outstanding, creative, and passionate Machine Learning Platform Engineer to join Roku's Recommendation team. In this role, you will design, build, and scale robust distributed systems that power the next generation of personalized content recommendations for millions of Roku users. You will focus on developing end-to-end machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale.

For California Only - The estimated annual salary for this position is between $229,500 - $367,100 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
    

What You'll Be Doing

• Design, build, and maintain scalable platform services: feature store, real-time inference services, vector DBs etc., that serve millions of transactions per second
• Run and monitor online AB tests via robust platform services, analyzing platform metrics and business KPIs to optimize recommendation system performance
• Collaborate closely with US-based engineering and cross-functional teams to translate business requirements into modular platform components and APIs
• Enhance and evolve the ML platform ecosystem to support high developer velocity, system scalability, and adaptability to future business needs
• Contribute to onboarding, training, and mentoring new team members on emerging platform engineering best practices and technologies
  
  

We’re Excited If You Have

• 5+ years of experience building software solutions to concrete problems
• Strong CS fundamentals. Should be able to write an algorithm with ease
• You are fluent with one of high-level programming languages like Java, Scala, Kotlin or Python
• We’d love to see that you’ve worked with big data systems (Spark, Kafka, Flink, S3, AirFlow)
• Familiar with model ML framework and tools: Ray, PyTorch, HuggingFace, AWS Sagemaker
• AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
• MS in Computer Science or related field

#LI-SSC

About the team 

Roku pioneered TV streaming and continues to lead, innovate and shape the future of streaming. You will be part of a high-performance engineering team responsible for The Roku Channel (TRC), the fastest growing FAST (Free-Ad-Supported-TV) streaming service in US and Mexico. 

About the role

You will be responsible for driving the test automation for The Roku Channel streaming apps, features and services on multiple platforms to improve product quality, increase team productivity and enhancing a culture of continuous quality improvement throughout the software development lifecycle. You will be a self-starter, have endless curiosity, ability to think big along with a bias for action for fast paced, high-quality execution.  

What you’ll be doing 

• You will be part of the core QA engineering team with a significant ownership to drive automation for The Roku Channel app on multiple platforms like FireTV, GoogleTV, Samsung, Web etc. 
• Use AI tools to simplify overall product testing process. 
• Utilize and integrate automated test tools, frameworks, systems, and libraries throughout the product lifecycle. 
• Build test plans, write automation tests, analyze/troubleshoot failures, track defects, drive resolution, verify fixes and communicate results to stakeholders. 
• Build and enhance the automation lab setup. 
• Collaborate with multiple cross functional teams like product, UX and engineering to build delightful streaming experiences, fine tune quality of experience, investigate and remediate potential E2E application and streaming quality problems. 

We’re excited if you have 

• Strong problem solving and analytical abilities, ability to troubleshoot, identify and resolve defects. 
• 7+ Years in a Software Engineering or Test Automation role working on large scale web applications on cloud platforms using REST APIs. 
• Experience with video streaming domain and technologies like DASH, HLS, MPEG-4, WideVine, FairPlay. 
• Strong programming skills in one or more of JavaScript/TypeScript, Python, Java, Go. 
• Very good understanding of core CS concepts including operating systems, algorithms, data structures, database and frontend/Web fundamentals including HTML5, CSS. 
• Solid experience with one or more automation frameworks like Cypress, Selenium, Cucumber, Appium, JUnit etc. 
• Passion for using AI for test automation to dramatically increase execution velocity and improve product quality. 
• Familiarity with TDD/BDD paradigms, AI for QA automation. 
• Excellent interpersonal, written and verbal communication skills, and ability to collaborate effectively with cross-functional teams. 
• Bachelor's Degree in Computer Science or equivalent; Master's degree preferred. 

About the team

Roku's Web Engineering team is responsible for the development and support of Roku's web application framework, design system, a host of consumer-facing web properties, web applications and an ecosystem of web services tied to content management systems, automated publishing tools, internationalization/localization, deployments and build tools, and much more. Our goal is to empower our community of web developers to build and deploy user-friendly, secure, user accessible, SEO-friendly and highly performant applications with the proper Roku branding and UX consistency.

About the role

Roku is seeking an experienced and versatile Sr. Software Engineer supporting the development of privacy-enhancing technologies to support our users globally. As a natural born problem solver, you love taking on new challenges, learn quickly/eagerly, are concise and articulate in speech and writing, make tough decisions without excessive agonizing, challenge norms and deliver great results. You will scale the platform to manage our growing consumer base.

What you’ll be doing

• Full-stack web developer passionate about the customer journey and developing innovative solutions using modern web technologies.
• Hands-on coding to implement the design of highly scalable solutions
• Opportunity to embark on a large, technically challenging project that will have a large impact for our millions of users and will lay the groundwork for many years to come.
• Explore emerging technologies and quickly adapt for better results
• Work in an agile fast-paced development environment
• Collaborate with the larger engineering team on business and architecture proposals

We’re excited if you have

• 5+ years of software development experience in platform or full-stack engineering
• Expertise in modern frontend web application development using Javascript or Typescript, and frameworks/libraries such as NodeJS, AngularJS, Bootstrap, ReactJS, Express, Material UI
• Expertise in object-oriented programming  and solid understanding of concurrent programming and data structures
• Experience with data modeling and storage with NoSQL data solutions
• Experience with scaling / performance tuning of highly available web services and systems
• Ability to decompose complex problems into manageable units of work
• Micro-service based architecture and systems integration
• Demonstrated leadership, people management and communication skills
• BS or MS degree in Computer Science or equivalent

About The Team 

Roku’s Aarhus office is focused on acoustics, audio processing and cloud technologies, centered around a purpose-built operating system for streaming TV.

About The Role 

We are looking for students interested in starting a full-time internship from Summer 2026. This role is for a 20-week internship, based out of our Aarhus, Denmark office.  
The team is located both in Aarhus DK, the UK and the US. Please submit your CV in English. 

What You'll Be Doing 

• Assist in development of RokuOS audio subsystem features and tools 
• Assist in development of automated tests, testcases and Jenkins environment 
• Collaborate in a globally distributed software and test team 

We’re excited if you have 

• Good programming skills in C++ language 
• Good programming skills in Python language 
• Experience in use of AI for software development 
• Strong capability for troubleshooting 
• Understanding of the interaction between software and hardware 
• Experience with GIT and Jenkins is desired 
• Enrolled in a relevant engineering education at the time of application 
• A self-starter attitude and willingness to learn 
• Good English skills, both oral and written 

About the team

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences.

About the role

We are seeking a highly experienced and skilled Lead Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that effectively handle large-scale data. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, and a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better and help drive innovation.

For California Only - The estimated annual base salary for this position is between $300,000 - $360,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

• Define architecture and technical strategy, ensuring scalability, reliability, and performance at scale
• Provide technical guidance, conduct code reviews, and mentor engineers to elevate team capabilities and foster engineering excellence
• Design and implement robust distributed systems, streaming solutions, content management systems, APIs, and data pipelines that handle high-volume content operations
• Partner with Product, Operations, Business, and other engineering teams to deliver integrated solutions
• Remain significantly hands-on with critical features and architectural components
• Drive technical planning, prioritization, and execution aligned with business objectives
• Act as a key technical partner to the Engineering Manager in driving team success and technical decisions
• Champion a culture of innovation, technical excellence, and continuous. improvement; establish engineering best practices
• Lead efforts in monitoring, observability, performance optimization, and production reliability at scale

We're excited if you have

• 10+ years of software engineering experience with significant time in technical leadership roles
• Proven expertise in building scalable, distributed, and streaming solutions in production environments
• Deep experience with content management systems, media processing, or publishing platforms
• Expert-level proficiency in Java or Scala required; Python experience is a strong plus
• Strong expertise in distributed systems architecture, microservices, and event-driven architectures
• Deep understanding of streaming technologies (Kafka, Redpanda, or similar
• Advanced knowledge of databases (SQL/NoSQL), vector databases (eg, Milvus), caching strategies, and data modeling at scale
• Track record of leading complex technical projects from conception to production in high-scale environments
• Excellent communication skills and ability to influence technical decisions across teams and organizations
• Experience with cloud platforms (AWS, GCP, or Azure) at enterprise scale
• Extensive experience with containerization and orchestration (Docker, Kubernetes
• Experience with search technologies (Elasticsearch, Solr, etc) or recommendation systems

#LI-SB-5