About Ensono

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 2,900 associates globally and is headquartered in greater Chicago. We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning.

Job Summary

As a Business Process Transformation leader, you will play a pivotal role in driving organizational change, enhancing efficiency, and optimizing business processes through process reengineering, digital/ automation solutions and innovation. Your focus will be on streamlining operations, improving workflows, and leveraging Six Sigma or equivalent methodologies along with Change management to identify and transformation process reengineering & technology to achieve strategic goals.

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Key Responsibilities

• Lead Transformation Initiatives:
  • Develop and execute strategic transformation initiatives to drive business growth and operational efficiency.
  • Collaborate with cross-functional teams to identify process improvements and innovative solutions.
  • Champion & drive adoption of digital and automation solutions across the organization e.g. ITOM SNOW, Robotic process automation (RPA) and intelligent automation etc
• Process Optimization:
  • Establish Six Sigma or equivalent methodology driven team structure and processes within organization to use data-driven approaches, methodologies, and tools to achieve near-perfection in operational processes with focus on continuous improvement, waste reduction and high-quality outcomes.
  • Document current operational processes & metric with potential & feasibility for optimization to build and drive a prioritization driven transformation plan.
  • Identify areas for improvement within existing processes.
  • Develop strategies to optimize workflows, reduce waste, and enhance productivity using combination of process re-engineering & digital/automation solutions.
• Stakeholder Engagement:
  • Collaborate with executives, department heads, and teams to align transformation efforts with business objectives.
  • Influence decision-makers by presenting logical solutions backed by data driven discovery and decision making on approaches & prioritization & plan to optimize identified processes and demonstrating the value of optimization.
• Change Management:
  • Lead change management efforts to ensure a smooth transition and adoption of new processes and systems.
  • Manage partnership between Technology and Operations for optimization solution discovery, implementation, deployment and digital operations.
  • Monitor project progress, identify risks, and provide timely solutions.
  • Deliver training programs to educate employees on new processes and technologies.
  • Measure, benchmark and publish effectivity of deployed solutions and drive on continuous improvement.
  • Establish and oversee process to work with operations and finance team to identify planned vs actual savings (post solution deployment) and realize/release/re-deploy the locked up operational budgets.
• Continuous Learning:
  • Stay abreast of industry trends, best practices, and emerging technologies related to process automation and transformation.

Qualifications

• Education: Bachelor’s or master’s in business or engineering
• Certifications: Certifications such as PMP, LEAN, Six Sigma, Change Management, Project Management, Finance - P&L Mgmt.
• Experience: Proven experience in business process transformation, automation, P&L management and change management.
• Technology: Understanding & experience with leveraging digital & automation solutions for process transformation with experience in SNOW ITOM a nice to have.

Skills and experience

• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Familiarity with automation tools and technologies.
• Must be customer focused and technology driven to deliver customer excellence.

Shift Timing - 1:30 PM to 10:30 PM IST
Location - Pune/Bangalore/Chennai/Hyderabad

“We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, color, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodation during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.”

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• The IT Operations Manager is responsible for the day-to-day stability, performance, and supportability of enterprise IT services across corporate and digital environments. This includes ensuring high availability and reliability of infrastructure, cloud platforms, enterprise applications, end-user technology, and IT service operations that support a rapidly growing, direct-to-consumer automotive organization.
• This leader will build, mature, and operationalize ITIL-aligned operational practices—not as a strategy-only function, but through hands-on design of operating models, establishing processes, implementing tooling, and driving measurable adoption. A key part of the role includes managing third-party Application Management Support (AMS) and operational vendor partners, ensuring consistent, secure, and outcome-driven service delivery.
• The role reports to the Chief Information Officer, works closely with Cross functional IT Teams, Enterprise Platform, Data & AI, Information Security teams, and serves as the primary owner of IT operational execution, service reliability, and partner-delivered support.

Location & Travel Expectations:

• This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC. 
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring:

IT Service Delivery & Operations

• Manage daily IT operations supporting ~6,000 employees across corporate, hybrid, and remote environments.
• Ensure high availability, performance, and reliability across infrastructure, cloud platforms, enterprise applications, networks, identity, and end-user systems.
• Lead Incident & Major Incident Management (Sev1/Sev2), including command, communications, restoration, post-incident reviews, and improvement in MTTD/MTTR.
• Own Problem Management, including RCA quality, corrective actions, trend reduction, and elimination of recurring issues.
• Own Change Enablement & Release Governance (CAB/ECAB, release calendar) to protect production stability while supporting delivery speed.
• Own Service Transition / Operational Readiness, including go-live gates, runbooks, monitoring readiness, ownership models, and escalation paths.
• Infrastructure, Cloud & Network Operations Knowledge 

Application Operations & AMS/Vendor Management

• Oversee enterprise application operations across ERP, HR, Finance, collaboration, and customer-facing systems.
• Manage third-party AMS partners responsible for monitoring, incident resolution, enhancements, and minor releases.
• Own operational vendor performance including SLAs, KPIs, service reviews, accountability, and continuous improvement.
• Ensure application support aligns with ITSM processes, security and compliance requirements, and architectural standards.

IT Operations Excellence

• Build and mature ITIL-aligned programs across all ITSM disciplines.
• Drive operational automation, noise reduction, proactive monitoring, and reduction of systemic issues.
• Identify operational risks, reduce technical debt, and strengthen operating rhythms and governance.
• Own outcomes for monitoring, event management, dashboards, alert quality, and on-call effectiveness.
• Own asset and configuration management (CMDB health, software objects) ensuring data quality for impact analysis, incident response, and audit readiness.

Security, Resilience & Compliance

• Partner with Information Security to ensure consistent execution of operational security controls.
• Support cybersecurity incident response, disaster recovery, business continuity planning, and testing.
• Ensure compliance with access controls, patching standards, data protection requirements, and audit evidence readiness.

Team & Leadership

• Lead, hire, develop, and coach a high-performing operations team, establishing clear accountability and a sustainable on-call model.
• Build a culture of service excellence, reliability, and continuous improvement within internal teams and across vendor partners.

What You’ll Bring (Qualifications)

Experience & Leadership

• 10+ years of progressive IT leadership experience across enterprise operations, service delivery, and ITSM governance.
• Demonstrated success building and scaling ITIL-aligned practices across Incident, Problem, Change, Release, and Service Transition.
• Executive presence with strong communication skills and comfort leading in high-growth, fast-paced, and ambiguous environments.

Technical & Operational Depth

• Fluency in cloud and infrastructure operations (Azure/AWS), identity, networking, endpoints, monitoring/observability, and automation.
• Experience owning SLAs/OLAs/XLAs, customer experience metrics, and service-level governance.
• Demonstrated ability to run audit-ready operations (e.g., ISO 27001, internal controls).

Governance & Delivery

• Experience managing CMDB/asset programs with measurable improvements in data accuracy and adoption.
• Strong program leadership—roadmaps, KPIs, executive reporting, and cross-functional delivery.
• Vendor management expertise including performance governance, SLAs/KPIs, and commercial accountability.

Education

• Bachelor’s Degree strongly preferred.
• Minimum High School Diploma, GED or equivalent required for all roles at Scout Motors, Inc.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
• Corporate Vehicle Program with:
  • Eligibility for 1 assigned vehicle
  • A mobility stipend

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial Base Salary Range: $160,000.00 - $192,500.00

Internal Leveling Code: M7

Overview

As our Learning Technology Sr. Specialist, you are the strategic and operational owner of the learning technology ecosystem supporting the Commercial Organization. You’ll administer the Business Unit’s LMS end‑to‑end, and you’ll also own adjacent platforms that plug into or stand alongside the LMS—specifically our AI Role‑Playing/Simulation tool, Sales Enablement Platform (e.g., Cornerstone, Mindtickle, or a bespoke solution), our Knowledge Base, and Content Management System.

You will partner across Sales, Service, Field Ops, Marketing, HR/People, IT/SecOps, and Compliance to deliver mobile‑first, retail-ready learning that is reliable, measurable, and tied to business outcomes like time‑to-ramp, conversion rates, first-time-fix, shrink reduction, and CSAT/NPS. Your superpower is translating operational needs into scalable system configurations, clean data flows, and insightful dashboards the business actually uses.

In a modern commercial organization, LMS administration is necessary but not sufficient. Success comes from an integrated learning stack - practice with feedback (AI role‑play), performance support (KB), in‑the‑flow guidance (DAP), targeted enablement (SEP), and analytics that tie learning to results. This role is the connective tissue.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

Top 6 Outcomes You’ll Drive (First 12 Months)

• Platform Reliability & Scale: ≥99.9% LMS uptime; SSO success ≥99%; Tier‑1 ticket deflection ≥30% via self-service.
• Content Lifecycle Discipline: 100% adherence to content audit plan; publish/retire SLAs met; metadata/taxonomy standards implemented.
• Sales Readiness Acceleration: AI role‑play adoption ≥80% of sellers; measurable lift in certification time‑to‑ramp (target set with Sales Ops).
• Enablement Platform Utilization: Monthly Active Users (MAU) and content engagement benchmarks met for Sales Enablement Platform (SEP).
• Analytics to Action: Quarterly learner impact reports linking training to performance; ≥90% reporting accuracy & timeliness.
• Compliance Confidence: On‑time completion ≥95%; zero critical audit findings; recertification lapse rate ≤2%.

LMS Ownership (Business Unit) – SAP Successfactors

• Configure and maintain LMS global and BU settings, SSO, user roles, permissions, and integrations (HRIS, SEP, content vendors).
• Upload, test, and manage SCORM/xAPI, video, microlearning, blended programs; ensure cross‑device/browser compatibility.
• Build assignments, learning paths, certifications, recert windows; automate notifications and reminders.
• Generate dashboards and enterprise‑grade reports (compliance, completions, time‑to‑cert, adoption); ensure accuracy and on‑time delivery.
• Provide Tier‑1/2 support; monitor uptime and performance; manage incidents with clear SLAs and post‑mortems.

Ecosystem Platforms (Beyond LMS)

• AI Role‑Playing/Simulation Tool: Administer scenarios, scoring rubrics, feedback loops; integrate results to LMS/LRS; partner with Sales Leaders to align on competency models and “certify to sell” standards.
• Sales Enablement Platform (SEP): Configure taxonomy, segments, and content governance; ensure CRM and LMS alignment; manage readiness, pitches, battlecards, and field analytics.
• Knowledge Base (KB): Govern structure, findability (search/tags), versioning, and feedback loops; integrate KB snippets into learning for in‑the‑flow support.
• Content Management System (CMS): Manage content lifecycle, localization workflows, and publishing governance; ensure web accessibility and brand compliance.

Integrations, Data, and Architecture

• Partner with IT to maintain LMS‑HRIS sync, SSO/IDP (Okta/Azure AD), and secure data flows; steward PII and role‑based access.
• Implement and maintain xAPI pipelines and an LRS (e.g., Watershed, Learning Locker) to capture practice data (AI role‑plays), KB searches, and SEP engagement.
• Define and enforce taxonomy, metadata, and naming standards across systems to improve search, recommendations, and analytics.

Content Operations & Governance

• Own the content audit plan (cadence, owners, criteria, retire/refresh); maintain a single source of truth across LMS/KB/CMS.
• Establish decentralized admin governance: admin certification, approval workflows, QA checklists, and audit trails.
• Develop and maintain job aids, FAQs, and in‑app guidance to drive self‑service and reduce support tickets.

Analytics & Business Impact

• Build learner impact reports integrating course data, AI practice scores, SEP usage, and field KPIs (with Sales/Service Ops).
• Publish executive and manager‑level dashboards (Power BI/Tableau/Excel) focused on time‑to-ramp, activity-to-outcome, and skill gap closure.
• A/B test delivery formats; run cohort analyses; recommend content and channel optimizations.

Compliance, Security & Accessibility

• Ensure training records meet regulatory and organizational standards; conduct regular audits and partner with Compliance.
• Manage content and platform accessibility (e.g., WCAG 2.1 AA).
• Coordinate vendor risk and platform updates with IT/SecOps; maintain documentation and runbooks.

Projects, Vendors & Roadmap

• Lead platform upgrades, migrations, and feature rollouts; maintain a rolling roadmap that balances stability with innovation.
• Manage vendor relationships and renewals; define business cases and pilots (e.g., AI features, mobile offline).
• Build communities of practice with field leaders; host office hours and release briefings.

Location & Travel Expectations: 

• This role will be based out of the Scout Motors corporate headquarters in Charlotte, NC. 
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.
• Travel: Ability and willingness to travel to field locations, ride‑alongs, store visits, national meetings 5% of the time. Valid driver's license required.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

Required Qualifications

• 8+ years currently administering enterprise LMS platforms in a corporate environment (SuccessFactors, Cornerstone, Docebo, Absorb, Mindtickle, etc.).
• Hands‑on experience with mobile‑first learning and field adoption in retail/sales environments.
• Proficient with SCORM/xAPI, content testing, and compatibility troubleshooting.
• Experience with LMS‑HRIS integrations and multi‑language content delivery.
• Strong technical troubleshooting; data accuracy discipline; able to coordinate with IT and vendors for enhancements.
• Proficiency with Microsoft Office; familiarity with Articulate 360 (Storyline/Rise); HTML/CSS basics a plus.
• Strong communication, stakeholder management, and project coordination skills.

Preferred Experience (Ecosystem & Tools)

• AI Role‑Playing/Simulation: Administering scenario libraries, analytics, and feedback (e.g., Mindtickle/AI Coach, Second Nature, Rehearsal, or similar).
• Sales Enablement Platform (SEP): Cornerstone, Docebo, Mindtickle, or a custom/bespoke enablement system.
• Knowledge Base & CMS: SharePoint/Confluence/ServiceNow KB; headless CMS (e.g., Contentful) or enterprise CMS (e.g., Adobe, Sitecore).
• Learning Record Store & xAPI: Watershed, Learning Locker; experience designing xAPI statements and dashboards.
• Video & Microlearning: Kaltura, Vimeo Enterprise, Microsoft Stream; Vyond/Synthesia for rapid media.
• In‑App Guidance / DAP: WalkMe, Whatfix, Pendo for workflow‑embedded guidance.
• Microlearning & Retail Readiness: Axonify, EduMe, EdApp, Whatfix mobile pulses.
• Badging & Credentials: Credly, Accredible (issuing/verifying micro‑credentials).
• Assessment & Proctoring: Questionmark, Talview/Proctorio (as applicable).
• Translation/Localization: Smartling, Lokalise, Phrase, or enterprise workflows for multi‑market content.
• Analytics: Advanced Excel plus Power BI/Tableau for executive dashboards and cohort analyses.
• Search & Recommendations: Elastic/Coveo search tuning; metadata and synonyms for KB/LMS findability.
• AR/VR / Simulations (Nice to have): STRIVR, PICO/Oculus; POS or device simulations for hands‑on practice.

Competencies

• Ecosystem Thinking: Designs systems to work together—consistent taxonomy, data contracts, and user journeys.
• Operational Excellence: Clear SLAs, runbooks, and release checklists; bias for reliability and scalability.
• Insight to Action: Turns data into decisions; partners with Ops leaders to impact time‑to‑ramp and field performance.
• Change Enablement: Trains decentralized admins and drives adoption through self‑service and field‑friendly design.
• Security & Compliance Mindset: Protects data, meets audit standards, and designs with accessibility in mind.

Impact Metrics (What Great Looks Like)

• Platform Health: Uptime %, page load, SSO success %, MTTR, ticket deflection %.
• Operational Rigor: Content audit adherence %, release cadence reliability, admin SLA compliance.
• Learning Outcomes: Time‑to‑certification/ramp, assignment on‑time completion %, recert lapse rate.
• Adoption & UX: MAU, session depth, search success %, CSAT/NPS, role‑play participation & pass rates.
• Business Impact (Commercial/Retail): Conversion rate uplift post‑training, attach rate improvement, first‑time‑fix rate, shrink improvement, customer NPS.
• Data Quality: Reporting accuracy/timeliness, HRIS sync error rate, localization coverage.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $110,000.00 - $135,000.00

Internal leveling code: IC8

Overview

As the Senior Software Engineer for Scout Motor’s digital products, you will play a key role in the development and enhancement of our software products, from concept to deployment. You will work closely with cross-functional teams to design, develop, and implement scalable and robust solutions that meet our customers' needs and exceed their expectations. Some of the key products as part of digital portfolio are – mobile and desktop applications, vehicle connectivity solutions, mapping services, production, inventory and planning optimization, servicing and repairs, and more. At the same time, you’ll have plenty of opportunities to be hands-on building key systems and will be directly responsible for the successful delivery of complex and large-scale technical efforts as well acting as a technical mentor and leader for other engineers.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Work with engineers & technical leaders across the company to ship interoperable products and systems on strong foundations that manage customer interactions inside and outside of the vehicle
• Lead the architecture, design, and development of complex software systems, ensuring scalability, reliability, and performance
• Collaborate with product managers, designers, and other stakeholders to understand requirements and translate them into technical specifications and deliverables
• Implement single sign-on solutions to allow users to authenticate once and access multiple applications securely. Design, implement and support identity, access and profile related services for multiple web applications, mobile apps and vehicle apps supporting internal and customer as users
• Implement best practices and standards for software development, including code reviews, testing, and documentation
• Mentor and coach junior team members, providing guidance and support to help them grow and succeed
• Stay current with emerging technologies and industry trends, continuously learning and experimenting with new tools and techniques to improve our software development process
• Be responsible for the services that are owned by your team, ensuring 24/7 on-call coverage

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Fremont, California. We will consider remote applicants for this role. This role is not eligible for remote work in New York City.
• The responsibilities of this role require one day a week attendance in office with in-person meetings and events regularly. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Education/Certifications: A Bachelor’s degree in Computer Science, or a related technical field
• Years of Experience required: 5+ years in software development, with a focus on back-end technologies
• Communication: Strong written and verbal communication skills, with the ability to clearly articulate technical concepts to non-technical stakeholders
• Ability to work effectively in a fast-paced, collaborative environment, both independently and as part of a team
• Proficiency in one of Go, Node.js, Python, Java, or Ruby
• Experience with both relational and/or non-relational databases (e.g., MySQL, PostgreSQL, MongoDB, Redis)
• Experience with identity management systems (e.g., Azure AD, AWS Cognito, LDAP, Okta, Keyclock) and directory services for user authentication and management
• Strong understanding of software architecture, design patterns, and best practices
• Excellent problem-solving and troubleshooting skills, with a passion for finding elegant solutions to complex challenges

Preferred:

• Prior experience working experience in a manufacturing or automotive environment
• Hands on experience building on AWS using Go and/or Python
• Full-stack development

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Initial California base salary range = $154,000.00 - $187,000.00

Internal leveling code: IC9

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 

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

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

About the team

About the Role

What you’ll be doing

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

We’re excited if you have

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

#LI-SK8

About the Team

The Data Platform Team at Scout is dedicated to unlocking the full potential of data by building a secure, scalable, and distributed platform that enables real-time insights, drives informed decision-making, and fosters innovation across the organization.

Our mission is to empower teams with actionable intelligence by streamlining data sharing, ensuring regulatory compliance, maintaining data integrity, and optimizing costs at every level.

This role is focused on building foundation for deploying AI-enabled use cases across company operations.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Contribute to the design, implementation, and maintenance of the overall cloud infrastructure data platform using modern IaC (Infrastructure as Code) practices.
• Work closely with software development and systems teams to build Data Integration solutions.
• Design and build Data models using tools such as Lucid, Talend, Erwin, MySQL workbench.
• Define and enhance enterprise data model to reflect relationships and dependencies.
• Review application data systems to ensure adherence to data governance policies.
• Design and build ETL (Python), ELT(Python) infrastructure, automation, and solutions to transform data as required.
• Design and Implement BI dashboards to visualize Trends and Forecasts.
• Design and implement data infrastructure components, ensuring high availability, reliability, scalability, and performance.
• Design, train and deploy ML models
• Implement monitoring solutions to proactively identify and address potential issues.
• Collaborate with security teams to ensure the data platform meets industry standards and compliance requirements.
• Collaborate with cross-functional teams, including product managers, developers, and business partners to ensure robust and reliable systems.

Location & Travel Expectations:

• This role is based out of the Scout Motors corporate headquarters in Charlotte, NC.
• The responsibilities of this role require 4-5 days attendance in office with in-person meetings and events regularly. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

• Bachelor's degree in computer science, information technology, or related field or equivalent work experience.
• 7+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive environment.
• Experience with streaming and event-based architecture.
• Experience implementing data lakehouse solutions using Databricks.
• Experience with infrastructure as code (Terraform).
• Proficient in building data pipelines using languages such as Python and SQL.
• Experience with AWS based data services such as Glue, Kinesis, Firehose or other comparable services.
• Experience with Structured, unstructured and time series databases.
• Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, Influx.
• Several years of experience working with cloud platforms such as AWS and Azure.
• Proven ability to develop and deploy scalable ML models.
• Hands-on experience in designing, training, and deploying ML models
• Strong ability to extract actionable insights using ML techniques
• Ability to leverage ML algorithms for forecasting trends and decision-making
• Excellent problem-solving and troubleshooting skills. When a problem occurs, you run towards it not away.
• Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $140,000.00 - $170,000.00

Initial California base salary range = $154,000.00 - $187,000

Internal leveling code: IC8

About the Team

The Advanced Development team at Roku pushes beyond today’s product lines to invent the next generation of intelligent and generative media systems.
We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices.

This is a rare environment — a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps.
Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision — people who challenge convention, embrace ambiguity, and build what’s never been built before. It’s a collaborative, low-ego, ownership-driven culture built on trust and curiosity.

We’re seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision — someone who thrives where research meets production.

About the Role

As a Senior Applied Machine Learning Engineer, you’ll help design, build, and deploy the systems that make media smarter.
You’ll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence.

You’ll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment — and seeing your work directly influence how audiences experience Roku’s content and advertising ecosystem.

What You’ll Be Doing

• Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production

• Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations

• Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders

• Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality

• Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising

• Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services

• Integrating services from other teams around the company, while also providing reusable ML services to others

• Evaluating and providing feedback on new platform technologies provided by internal teams

• Working with QA teams to address bugs and contribute to automation and quality assurance

We’re Excited If You Have

• A Master’s degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field

• Strong background developing applied machine learning systems using PyTorch or TensorFlow

• Expertise in image processing, computer vision, or natural language processing

• Experience using AWS, GCP, or Azure for storing data, training, and serving models

• Proven ability to evaluate models and communicate insights effectively

• Experience building APIs with frameworks such as GraphQL or REST

• Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow

• Hands-on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools

#LI-PA1

About the team

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

About the role

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

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

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

What you’ll be doing

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

We’re excited if you have

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

#LI-SJ1

About The Team 

The Roku trust engineering team is a close knit group of professionals with a passion for information security.  Our mission is to protect our customers, partners, devices, services, infrastructure, and data. We work collaboratively, sharing insights and expertise to stay ahead of the curve. Join us, and you’ll be part of a dynamic team that thrives on challenges and celebrates victories together. 

About The Role  

As a Senior Security Engineer on the Trust Cloud team, your role involves evaluating, architecting, designing, and implementing end-to-end security controls to impact the global user base. A key focus is on developing automated, scalable security solutions to enhance efficiency and protect Roku. This position requires a broad breadth of security expertise across all disciplines of security, including networking, DevSecOps, security tooling implementation, policy and procedure, risk evaluation, etc. 

What You Will Be Doing 

• Conducting enterprise, network, and application level security reviews.
• Conducting threat modelling for infrastructure, platform, and application initiatives.
• Planning and overseeing execution of security initiatives and projects
• Partnering with infrastructure, platform, and application teams to embed security into application architectures and deployment workflows as part of a robust Secure Software Development Lifecycle (SSDLC).
• Improving IAM policies, network configurations, DNS security, and cloud resource management practices.
• Designing and implementing integrations with third-party security platforms to automate vulnerability management, secure secret handling, and cloud posture monitoring, ensuring findings are actionable and seamlessly integrated into engineering workflows.
• Responding to security incidents to triage, contain, remediate, and report.
• Leveraging AI to accelerate your learning and enhance your work products.
• Driving security initiatives end-to-end — from identifying risks to delivering solutions — with high autonomy in a fast-moving environment.
• Automating vulnerability detection, misconfiguration checks, and compliance validation across cloud and containerised environments.
• Creating reusable security automation modules, templates, and patterns for engineering teams to adopt. 

We're Excited If You Have

• Experience doing security consulting and have balanced experience doing hands on implementation
• Experience supporting/leading DevSecOps initiatives and assisting teams in utilising and onboarding onto DSO platforms
• Designing, building, operating, and maintaining DSO platforms through IaC
• Offensive cyber operations such as application, system, and network level penetration testing
• Software Engineering experience with at least one general purpose programming language (ex. Python, Golang, C, Rust, etc.)
• Developed and/or implemented data tagging, data catalogs, or other data protection related activities
• Experience designing and administering enterprise identity and access management solutions at scale (ex: AD, EntraID, Okta, etc)
• Experience securely running and operating web applications, web services, and service-oriented architecture in production environments.
• A proven track record of deploying and operating Kubernetes clusters in production.  
• Experience deploying and operating infrastructure in multiple cloud providers (AWS, GCP, Azure)
• Fleet administration of Linux workstations and servers
• Defensive cyber operations such as operating a SEIM, managing a SOC, or leading cyber investigations 

#LI-AM3

About The Team 

The Roku trust engineering team is a close knit group of professionals with a passion for information security.  Our mission is to protect our customers, partners, devices, services, infrastructure, and data. We work collaboratively, sharing insights and expertise to stay ahead of the curve. Join us, and you’ll be part of a dynamic team that thrives on challenges and celebrates victories together. 

About The Role  

As a Senior Security Engineer on the Trust Cloud team, your role involves evaluating, architecting, designing, and implementing end-to-end security controls to impact the global user base. A key focus is on developing automated, scalable security solutions to enhance efficiency and protect Roku. This position requires a broad breadth of security expertise across all disciplines of security, including networking, DevSecOps, security tooling implementation, policy and procedure, risk evaluation, etc. 

What You Will Be Doing 

• Conducting enterprise, network, and application level security reviews.
• Conducting threat modelling for infrastructure, platform, and application initiatives.
• Planning and overseeing execution of security initiatives and projects
• Partnering with infrastructure, platform, and application teams to embed security into application architectures and deployment workflows as part of a robust Secure Software Development Lifecycle (SSDLC).
• Improving IAM policies, network configurations, DNS security, and cloud resource management practices.
• Designing and implementing integrations with third-party security platforms to automate vulnerability management, secure secret handling, and cloud posture monitoring, ensuring findings are actionable and seamlessly integrated into engineering workflows.
• Responding to security incidents to triage, contain, remediate, and report.
• Leveraging AI to accelerate your learning and enhance your work products.
• Driving security initiatives end-to-end — from identifying risks to delivering solutions — with high autonomy in a fast-moving environment.
• Automating vulnerability detection, misconfiguration checks, and compliance validation across cloud and containerised environments.
• Creating reusable security automation modules, templates, and patterns for engineering teams to adopt. 

We're Excited If You Have

• Experience doing security consulting and have balanced experience doing hands on implementation
• Experience supporting/leading DevSecOps initiatives and assisting teams in utilising and onboarding onto DSO platforms
• Designing, building, operating, and maintaining DSO platforms through IaC
• Offensive cyber operations such as application, system, and network level penetration testing
• Software Engineering experience with at least one general purpose programming language (ex. Python, Golang, C, Rust, etc.)
• Developed and/or implemented data tagging, data catalogs, or other data protection related activities
• Experience designing and administering enterprise identity and access management solutions at scale (ex: AD, EntraID, Okta, etc)
• Experience securely running and operating web applications, web services, and service-oriented architecture in production environments.
• A proven track record of deploying and operating Kubernetes clusters in production.  
• Experience deploying and operating infrastructure in multiple cloud providers (AWS, GCP, Azure)
• Fleet administration of Linux workstations and servers
• Defensive cyber operations such as operating a SEIM, managing a SOC, or leading cyber investigations 

#LI-AM3

About the team

At Roku, the Customer Care Engineering team is at the forefront of creating innovative solutions that redefine how we support millions of Roku users worldwide. We build and maintain a diverse ecosystem of cutting-edge tools and applications, including the Roku Support help center, advisor-facing tools for call centers, third-party partner integrations, internal web portals, and a robust suite of web services. From customer account management to big data pipelines, automated deployments, and build tools, our work touches nearly every aspect of the Roku experience.Our mission? To empower Roku customers and support teams with seamless automation, intuitive self-service tools, and powerful troubleshooting capabilities. We’re passionate about crafting secure, high-performance applications that not only solve problems but also deliver a delightful, branded user experience. If you’re excited about building scalable, impactful solutions that make a real difference, this is the team for you.

About the role 

Roku is seeking an experienced, versatile, and skilled Full Stack Engineer to join our dynamic Customer Care team. You will play a pivotal role in building and evolving a platform, leveraging web technologies and cutting-edge generative AI, to support world class customer care experiences including intelligent chatbots, agent dashboards, telephony integration, and self-service workflow automation. Your expertise will help shape intelligent, scalable solutions that enhance customer support experiences and multiple support call centers globally. 

What you'll be doing

• Design, develop, test, deploy, document, and maintain full stack web applications for a multi-region CRM platform
• Determine the strategic and tactical direction of the front-end architecture with cross-browser compatibility, accessibility and search engine optimization
• Build and optimize Retrieval-Augmented Generation (RAG) solutions to power chatbot interactions
• Advocate for operational excellence, driving best practices in monitoring, performance, and reliability.
• Participate in the agile development process, including scoping, technical design, effort estimation, coding, testing, debugging, code reviews, maintenance, and support
• Write clean, efficient, and maintainable code across frontend and backend services
• Monitor, debug, and resolve issues across the stack to maintain platform reliability.
• Stay updated on emerging technologies, bringing innovative ideas to enhance the platform.
• Collaborate with product managers, UX designers, data science and larger engineering team on business and architecture proposals to deliver seamless customer care experiences.

We're excited if you have

• 12+ yrs of relevant web development and production application support of highly trafficked consumer-facing web applications.
• In-depth experience with React and relevant toolset/framework ecosystem.
• Expert-level knowledge of JavaScript, Typescript – prototypical inheritance, scope and closures.
• Experience with js, React.js/Angular.js, Express, SASS/LESS, AWS, npm, Git and CI a necessity.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and microservices architectures
• Strong understanding of database systems (SQL and NoSQL). 
• Familiarity with DevOps practices and tools (CI/CD, Docker, Kubernetes).
• Ability to decompose complex problems into manageable units of work.
• Excellent problem-solving skills and ability to work in an agile environment.
• Effective communication and collaboration skills.
• Bachelors or Master’s degree in Computer Science, Engineering, or equivalent.
• Experience with customer service platforms or CRM systems is preferred
• Hands-on experience developing RAG solutions or working with LLMs for chatbots is preferred
• Knowledge of service mesh architectures is preferred
• Exposure to observability tools and practices (e.g., Prometheus, Grafana) are preferred.

#LI-SJ1

About the Team 

The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and audience management workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries using Apache Spark for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

API and Platform Development

• Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

• Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.

We’re Excited If You Have 

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

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

• Expertise in developing low latency APIs
  

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

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

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and audience management. (preferred)

• Strong programming skills in Python, Java, and/or Scala. (preferred) 

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

• Expertise in developing low latency APIs

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

• Experience in AdTech, in advertising data platforms and audience management. (preferred)
  

About role

Roku is seeking a senior-level Identity Engineer to enhance its Zero-Trust architecture, drive standardization initiatives, and optimize its Microsoft-centric identity platform for a geographically distributed workforce. The ideal candidate has hands-on experience in identity and access management (IAM) and securing cloud environments within the Microsoft ecosystem, with deep expertise in Azure Entra ID. Equally important is a strong automation mindset—designing, scripting, and building repeatable workflows. The role also requires the ability to communicate complex technical concepts clearly to both technical and non-technical audiences. 

For Massachusetts Only - The estimated annual salary for this position is between $158,000 - $279,000 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

• Lead enterprise-wide IAM standardization, including identity lifecycle, access governance, and policy enforcement across global regions.
• Drive automation across IAM to streamline administration and deliver a smoother user experience.
• Support enterprise applications onboarding into Azure Entra ID, including SSO, Conditional Access, and role-based access control (RBAC).
• Enhance privileged access management and implement scalable monitoring, alerting, and auditability solutions to support a secure, geographically distributed workforce.
• Collaborate with IT, Networking, and Security teams to troubleshoot identity-related issues and support global infrastructure initiatives.
• Advance Zero Trust Identity Fabric principles like continuous verification, least-privilege access, and identity-aware policy enforcement across users, devices, workloads, and non-human identities.
• Build identity automation with a DevOps mindset, writing scripts, developing pipelines, and engineering tooling from scratch rather than just configuring them.

We're excited if you have

• 8+ years of hands-on experience with identity and access management and automating cloud technologies, particularly within the Microsoft ecosystem.
• Strong analytical skills and attention to detail, with the ability to troubleshoot complex infrastructure and identity-related issues.
• Excellent communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders.
• Deep experience with Microsoft Entra ID, including Conditional Access, Identity Governance, and Privileged Identity Management.
• Familiarity with Microsoft 365 services: Exchange Online, Defender, Purview, Sentinel, Intune, and related platforms.
• Automation and scripting skills using PowerShell, Azure CLI, and Microsoft Graph API; working knowledge of Azure services such as Function Apps and Logic Apps.
• Experience in onboarding and managing enterprise applications in Azure Entra ID.
• Advanced knowledge of Azure Single Sign-On (SSO) login methods, including OAuth2, OpenID Connect, and SAML, and their integration with enterprise applications.
• Knowledge of privileged access tools (Azure PIM, CyberArk, etc), secrets management (HashiCorp or Azure Key Vault), and workload identity patterns SPIFEE & SPIRE.
• Familiarity with NHI governance concepts for service accounts and AI agents, and exposure to OPA / Rego or similar policy-as-code frameworks.
• Good to have familiarity with Microsoft Purview for DLP and data classification.
• Strong understanding of multi-factor authentication and FIDO2.
• Familiarity with IT security frameworks and compliance standards.
• Knowledge of logging, monitoring, and alerting practices for identity and access events.
• Basic understanding of email security and DNS.
• Experience with backup and recovery strategies for identity-related services.
• Understanding of Zero Trust Architecture principles.
• Familiarity with Jira and Confluence.
• B.S. in Computer Science, Information Technology, Engineering, or equivalent experience. 

#LI-SR2

About role

Roku is seeking a senior-level Identity Engineer to enhance its Zero-Trust architecture, drive standardization initiatives, and optimize its Microsoft-centric identity platform for a geographically distributed workforce. The ideal candidate has hands-on experience in identity and access management (IAM) and securing cloud environments within the Microsoft ecosystem, with deep expertise in Azure Entra ID. Equally important is a strong automation mindset—designing, scripting, and building repeatable workflows. The role also requires the ability to communicate complex technical concepts clearly to both technical and non-technical audiences. 

For New York Only - The estimated annual salary for this position is between $158,000 - $279,000 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

• Lead enterprise-wide IAM standardization, including identity lifecycle, access governance, and policy enforcement across global regions.
• Drive automation across IAM to streamline administration and deliver a smoother user experience.
• Support enterprise applications onboarding into Azure Entra ID, including SSO, Conditional Access, and role-based access control (RBAC).
• Enhance privileged access management and implement scalable monitoring, alerting, and auditability solutions to support a secure, geographically distributed workforce.
• Collaborate with IT, Networking, and Security teams to troubleshoot identity-related issues and support global infrastructure initiatives.
• Advance Zero Trust Identity Fabric principles like continuous verification, least-privilege access, and identity-aware policy enforcement across users, devices, workloads, and non-human identities.
• Build identity automation with a DevOps mindset, writing scripts, developing pipelines, and engineering tooling from scratch rather than just configuring them.

We're excited if you have

• 8+ years of hands-on experience with identity and access management and automating cloud technologies, particularly within the Microsoft ecosystem.
• Strong analytical skills and attention to detail, with the ability to troubleshoot complex infrastructure and identity-related issues.
• Excellent communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders.
• Deep experience with Microsoft Entra ID, including Conditional Access, Identity Governance, and Privileged Identity Management.
• Familiarity with Microsoft 365 services: Exchange Online, Defender, Purview, Sentinel, Intune, and related platforms.
• Automation and scripting skills using PowerShell, Azure CLI, and Microsoft Graph API; working knowledge of Azure services such as Function Apps and Logic Apps.
• Experience in onboarding and managing enterprise applications in Azure Entra ID.
• Advanced knowledge of Azure Single Sign-On (SSO) login methods, including OAuth2, OpenID Connect, and SAML, and their integration with enterprise applications.
• Knowledge of privileged access tools (Azure PIM, CyberArk, etc), secrets management (HashiCorp or Azure Key Vault), and workload identity patterns SPIFEE & SPIRE.
• Familiarity with NHI governance concepts for service accounts and AI agents, and exposure to OPA / Rego or similar policy-as-code frameworks.
• Good to have familiarity with Microsoft Purview for DLP and data classification.
• Strong understanding of multi-factor authentication and FIDO2.
• Familiarity with IT security frameworks and compliance standards.
• Knowledge of logging, monitoring, and alerting practices for identity and access events.
• Basic understanding of email security and DNS.
• Experience with backup and recovery strategies for identity-related services.
• Understanding of Zero Trust Architecture principles.
• Familiarity with Jira and Confluence.
• B.S. in Computer Science, Information Technology, Engineering, or equivalent experience. 

#LI-SR2

About the team

About the Role:

We are seeking a talented and experienced SRE (Site Reliability Engineering) Senior Software Engineer to join our dynamic team. The ideal candidate will have a strong background in SRE practices, cloud infrastructure management, and automation. If you have a consistent track record of architecting and building large-scale systems, enjoy solving intriguing system challenges at internet-scale, and if you are innovative at heart, and have a great balance of skills in learning, organizing, building, and enjoy making an impact, this role might be a great fit for you!

What you’ll be doing:

• Design & Infrastructure

  • Contribute to postmortem culture by facilitating comprehensive, blameless post-incident reviews that identify root causes, contributing factors, and actionable remediation items. Track incident trends to identify systemic issues and prioritize reliability improvements.

  • Implement chaos engineering practices to proactively identify failure modes, validate system resilience, and build confidence in recovery procedures. Conduct game days and disaster recovery exercises.

• SRE Process & Principles Implementation

  • Deploy and evolve SRE practices across the organization by establishing core SRE principles, frameworks, and methodologies. Define and implement service reliability practices, including Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error Budgets, to balance innovation velocity with system reliability.

  • Manage Error Budgets as a mechanism for making data-driven decisions about feature velocity vs. reliability. Track, report, and enforce error budget policies, facilitating conversations between engineering and product teams about risk tolerance and release decisions.

• Reliability Engineering & Infrastructure

  • Reduce toil through automation by identifying repetitive operational work and systematically eliminating it through infrastructure-as-code, automation frameworks, and intelligent tooling. Measure and track toil reduction efforts, aiming to keep toil below 50% of team time.

  • Implement capacity planning processes that ensure systems have adequate headroom to meet SLOs during peak traffic, unexpected load spikes, and degraded states. Develop predictive models and automated scaling mechanisms.

• Observability, Monitoring & Reporting

  • Build comprehensive observability systems that provide deep visibility into service health, performance, and user experience. Implement monitoring strategies based on the Four Golden Signals (latency, traffic, errors, saturation) and USE/RED methodologies.

  • Create SRE dashboards and reporting mechanisms that provide real-time visibility into SLO compliance, error budget consumption, and system reliability metrics. Develop executive-level reporting on reliability trends, incident impact, and improvement initiatives.

  • Establish alerting strategies that are actionable, symptom-based, and aligned with SLOs. Reduce alert fatigue by tuning thresholds and eliminating noise while ensuring critical issues trigger appropriate responses.

• Collaboration and Leadership

  • Partner with development teams to implement reliability from the design phase using SRE principles. Conduct design reviews focused on failure modes, scalability, observability, and operational concerns. Guide teams in building services that meet SLO requirements.

  • Collaborate through code reviews and design reviews, ensuring infrastructure-as-code, automation scripts, and reliability improvements follow best practices, are well-documented, and maintain high-quality standards.

  • Manage project priorities using error budgets as a decision-making framework. Leverage agile methodologies while ensuring reliability work gets appropriate prioritization alongside feature development.

• Operational Excellence & Continuous Improvement

  • Identify and eliminate performance bottlenecks through detailed analysis of metrics, traces, and profiles. Optimize system resources, tune configurations, and implement auto-scaling to ensure SLO compliance during varying load conditions.

  • Drive continuous improvement through SRE feedback loops by analyzing SLO violations, incident trends, and toil metrics to identify systemic improvements. Champion the reliability roadmap and advocate for technical debt reduction.

  • Maintain a culture of documentation and knowledge sharing by creating comprehensive runbooks, operational guides, system architecture documentation, and disaster recovery procedures. Ensure operational knowledge is distributed across the team.

  • Track and report on SRE metrics, including SLO compliance rates, error budget consumption, mean time to detection (MTTD), mean time to resolution (MTTR), toil percentage, and reliability improvement velocity.

• On-call & reliability

  • Participate in a 12x7 on-call rotation and be available to work with global teams in the event of critical outages

We’re excited if you have:

• Preferably 8+ years of experience in DevOps/SRE roles, with demonstrated expertise in implementing SRE principles, SLO/SLI frameworks, and error budget policies in production environments.

• Deep experience with observability and monitoring platforms such as Prometheus, Grafana, Datadog, New Relic, or equivalent, including experience building custom dashboards, alerts, and SLO-based monitoring.

• Strong background in incident management, including experience as an Incident Commander, conducting blameless postmortems, and implementing systematic reliability improvements based on incident learnings.

• Strong understanding of distributed systems and reliability engineering, including failure modes, fault tolerance patterns, circuit breakers, bulkheads, rate limiting, and graceful degradation strategies.

• Experience with a number of the following: Kubernetes, Docker, Service Mesh such as Istio, Envoy, Linkerd, Solo & ECS

• Experience in cloud-focused software development, preferably in Go, Python, or other object-oriented programming languages

• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation

• Experience with CI/CD automation, including GitLab pipelines and other related tools.

• Strong hands-on experience with cloud platforms such as AWS, GCP or Azure

• Proven track record of implementing scalable, high-performance infrastructure solutions in fast-paced, dynamic environments

• Demonstrated ability to communicate clearly with both technical and non-technical project stakeholders, with the ability to work effectively in a cross-functional team environment

• Self-driven and detail-oriented with the ability to understand complex distributed systems and identify reliability risks proactively.

• Certifications in relevant technologies, such as Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer, or Certified Information Systems Security Professional (CISSP), are preferred

• BS Degree in Computer Science or Equivalent.

#LI-SK8

About the Team 

The Data Insights team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal teams.We work closely with Product Managers, Data Science, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions. Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results.

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and analytics workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

Collaboration & Mentorship 

• Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

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

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

• Expertise with atleast one of the following Apache Druid, StarRocks, and Trino. 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

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

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Familiarity with additional big data technologies, including Hadoop and Kafka.  

• Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)

• Strong programming skills in Python, Java, or Scala. (preferred) 

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

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

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

Are you passionate about building scalable, high-performance systems that process massive amounts of data? Do you thrive on designing and implementing innovative solutions to empower engineering teams with actionable insights? Are you excited to advance open-source observability at a massive scale? Join us to extend (open source) observability tools and build new capabilities that help teams manage data better and get actionable insights. 

About the Team 

The Observability team is part of Roku’s Cloud Technology Infrastructure organisation and plays a critical role in our platform. We are a high-performing, fast-moving international team that thrives on ownership, effective communication, and delivering impactful engineering solutions. 

Our mission is to advance Roku’s observability platform, which operates at an impressive scale by ingesting terabytes of data daily and managing hundreds of millions of active series. As part of this mission, we focus on building scalable, performant systems to meet Roku’s unique needs. By leveraging open-source tools, CNCF-supported projects, and custom solutions, we enable engineering teams across Roku to monitor, debug, and optimise their applications with ease. 

What sets us apart is our results-driven culture rooted in ownership, accountability, and fast iteration. We prioritise solving meaningful engineering problems, fostering collaboration, and continuously improving how we work as a team. 

About the Role 

You will work on core observability systems (metrics, logs, traces) while also developing robust data pipelines and storage solutions optimized for high throughput, performance, and cost. You’ll leverage technologies such as time-series databases (TSDB), columnar storage formats (e.g., Parquet), and distributed data processing frameworks to advance the platform’s capabilities. Collaboration with cross-functional teams will be critical, as you’ll integrate observability into Roku’s cloud-native stack and contribute improvements back to the open-source community. 

• Extend and integrate open-source observability systems, and when needed, structurally overhaul core components, such as storage layers and query paths, to improve performance, reliability, and usability of these tools at scale. 

• Build services to improve performance, usability, reliability, and cost efficiency. 

• Implement features like pre-aggregation, downsampling, and sampling to reduce load and accelerate queries. 

• Create developer-facing capabilities for metrics, logs, and traces usage, data quality, and cost management. 

• Automate onboarding, dashboards, alerting, and tracing. 

• Collaborate across platform and infrastructure teams to integrate observability into Roku’s cloud-native stack. 

What We’re Looking For 

• Extensive experience in software engineering building distributed, high-throughput systems or observability platforms. 

• Hands on Go experience; our observability ecosystem is Go-based, making it the most effective language for this role. 

• Experience with, or strong interest in, observability tools (Prometheus, Grafana, Loki, Tempo, ELK/OpenSearch, Clickhouse) and standards (OpenTelemetry, OpenTracing, OpenMetrics). 

• Deep understanding of distributed systems and data models 

• Hands-on experience with Kubernetes, and cloud platforms (AWS, GCP, Azure). 

#LI-PA1

Are you passionate about building scalable, high-performance systems that process massive amounts of data? Do you thrive on designing and implementing innovative solutions to empower engineering teams with actionable insights? Are you excited to advance open-source observability at a massive scale? Join us to extend (open source) observability tools and build new capabilities that help teams manage data better and get actionable insights. 

About the Team 

The Observability team is part of Roku’s Cloud Technology Infrastructure organisation and plays a critical role in our platform. We are a high-performing, fast-moving international team that thrives on ownership, effective communication, and delivering impactful engineering solutions. 

Our mission is to advance Roku’s observability platform, which operates at an impressive scale by ingesting terabytes of data daily and managing hundreds of millions of active series. As part of this mission, we focus on building scalable, performant systems to meet Roku’s unique needs. By leveraging open-source tools, CNCF-supported projects, and custom solutions, we enable engineering teams across Roku to monitor, debug, and optimise their applications with ease. 

What sets us apart is our results-driven culture rooted in ownership, accountability, and fast iteration. We prioritise solving meaningful engineering problems, fostering collaboration, and continuously improving how we work as a team. 

About the Role 

You will work on core observability systems (metrics, logs, traces) while also developing robust data pipelines and storage solutions optimized for high throughput, performance, and cost. You’ll leverage technologies such as time-series databases (TSDB), columnar storage formats (e.g., Parquet), and distributed data processing frameworks to advance the platform’s capabilities. Collaboration with cross-functional teams will be critical, as you’ll integrate observability into Roku’s cloud-native stack and contribute improvements back to the open-source community. 

• Extend and integrate open-source observability systems, and when needed, structurally overhaul core components, such as storage layers and query paths, to improve performance, reliability, and usability of these tools at scale. 

• Build services to improve performance, usability, reliability, and cost efficiency. 

• Implement features like pre-aggregation, downsampling, and sampling to reduce load and accelerate queries. 

• Create developer-facing capabilities for metrics, logs, and traces usage, data quality, and cost management. 

• Automate onboarding, dashboards, alerting, and tracing. 

• Collaborate across platform and infrastructure teams to integrate observability into Roku’s cloud-native stack. 

What We’re Looking For 

• Extensive experience in software engineering building distributed, high-throughput systems or observability platforms. 

• Hands on Go experience; our observability ecosystem is Go-based, making it the most effective language for this role. 

• Experience with, or strong interest in, observability tools (Prometheus, Grafana, Loki, Tempo, ELK/OpenSearch, Clickhouse) and standards (OpenTelemetry, OpenTracing, OpenMetrics). 

• Deep understanding of distributed systems and data models 

• Hands-on experience with Kubernetes, and cloud platforms (AWS, GCP, Azure). 

#LI-PA1

Are you passionate about building scalable, high-performance systems that process massive amounts of data? Do you thrive on designing and implementing innovative solutions to empower engineering teams with actionable insights? Are you excited to advance open-source observability at a massive scale? Join us to extend (open source) observability tools and build new capabilities that help teams manage data better and get actionable insights. 

About the Team 

The Observability team is part of Roku’s Cloud Technology Infrastructure organisation and plays a critical role in our platform. We are a high-performing, fast-moving international team that thrives on ownership, effective communication, and delivering impactful engineering solutions. 

Our mission is to advance Roku’s observability platform, which operates at an impressive scale by ingesting terabytes of data daily and managing hundreds of millions of active series. As part of this mission, we focus on building scalable, performant systems to meet Roku’s unique needs. By leveraging open-source tools, CNCF-supported projects, and custom solutions, we enable engineering teams across Roku to monitor, debug, and optimize their applications with ease. 

What sets us apart is our results-driven culture rooted in ownership, accountability, and fast iteration. We prioritize solving meaningful engineering problems, fostering collaboration, and continuously improving how we work as a team. 

About the Role 

You will work on core observability systems (metrics, logs, traces) while also developing robust data pipelines and storage solutions optimized for high throughput, performance, and cost. You’ll leverage technologies such as time-series databases (TSDB), columnar storage formats (e.g., Parquet), and distributed data processing frameworks to advance the platform’s capabilities. Collaboration with cross-functional teams will be critical, as you’ll integrate observability into Roku’s cloud-native stack and contribute improvements back to the open-source community. 

• Extend and integrate open-source observability systems, and when needed, structurally overhaul core components, such as storage layers and query paths, to improve performance, reliability, and usability of these tools at scale. 

• Build services to improve performance, usability, reliability, and cost efficiency. 

• Implement features like pre-aggregation, downsampling, and sampling to reduce load and accelerate queries. 

• Create developer-facing capabilities for metrics, logs, and traces usage, data quality, and cost management. 

• Automate onboarding, dashboards, alerting, and tracing. 

• Collaborate across platform and infrastructure teams to integrate observability into Roku’s cloud-native stack. 

What We’re Looking For 

• Extensive experience in software engineering building distributed, high-throughput systems or observability platforms. 

• Hands on Go experience; our observability ecosystem is Go-based, making it the most effective language for this role. 

• Experience with, or strong interest in, observability tools (Prometheus, Grafana, Loki, Tempo, ELK/OpenSearch, Clickhouse) and standards (OpenTelemetry, OpenTracing, OpenMetrics). 

• Deep understanding of distributed systems and data models 

• Hands-on experience with Kubernetes, and cloud platforms (AWS, GCP, Azure). 

#LI-PA1

Are you passionate about building scalable, high-performance systems that process massive amounts of data? Do you thrive on designing and implementing innovative solutions to empower engineering teams with actionable insights? Are you excited to advance open-source observability at a massive scale? Join us to extend (open source) observability tools and build new capabilities that help teams manage data better and get actionable insights. 

About the Team 

The Observability team is part of Roku’s Cloud Technology Infrastructure organisation and plays a critical role in our platform. We are a high-performing, fast-moving international team that thrives on ownership, effective communication, and delivering impactful engineering solutions. 

Our mission is to advance Roku’s observability platform, which operates at an impressive scale by ingesting terabytes of data daily and managing hundreds of millions of active series. As part of this mission, we focus on building scalable, performant systems to meet Roku’s unique needs. By leveraging open-source tools, CNCF-supported projects, and custom solutions, we enable engineering teams across Roku to monitor, debug, and optimise their applications with ease. 

What sets us apart is our results-driven culture rooted in ownership, accountability, and fast iteration. We prioritise solving meaningful engineering problems, fostering collaboration, and continuously improving how we work as a team. 

About the Role 

You will work on core observability systems (metrics, logs, traces) while also developing robust data pipelines and storage solutions optimized for high throughput, performance, and cost. You’ll leverage technologies such as time-series databases (TSDB), columnar storage formats (e.g., Parquet), and distributed data processing frameworks to advance the platform’s capabilities. Collaboration with cross-functional teams will be critical, as you’ll integrate observability into Roku’s cloud-native stack and contribute improvements back to the open-source community. 

• Extend and integrate open-source observability systems, and when needed, structurally overhaul core components, such as storage layers and query paths, to improve performance, reliability, and usability of these tools at scale. 

• Build services to improve performance, usability, reliability, and cost efficiency. 

• Implement features like pre-aggregation, downsampling, and sampling to reduce load and accelerate queries. 

• Create developer-facing capabilities for metrics, logs, and traces usage, data quality, and cost management. 

• Automate onboarding, dashboards, alerting, and tracing. 

• Collaborate across platform and infrastructure teams to integrate observability into Roku’s cloud-native stack. 

What We’re Looking For 

• Extensive experience in software engineering building distributed, high-throughput systems or observability platforms. 

• Hands on Go experience; our observability ecosystem is Go-based, making it the most effective language for this role. 

• Experience with, or strong interest in, observability tools (Prometheus, Grafana, Loki, Tempo, ELK/OpenSearch, Clickhouse) and standards (OpenTelemetry, OpenTracing, OpenMetrics). 

• Deep understanding of distributed systems and data models 

• Hands-on experience with Kubernetes, and cloud platforms (AWS, GCP, Azure). 

#LI-PA1

About the Role 

Join us in building Roku’s next-generation cloud-agnostic platform that powers Kubernetes and service mesh at scale. If you’re passionate about designing resilient infrastructure, automating deployments, and enabling hundreds of workloads across multiple regions, this role is for you. You’ll work with cutting-edge technologies like Kubernetes, Istio, Envoy, Terraform, modern observability stacks and collaborate with teams worldwide to deliver a unified hosting experience. 

If you’re passionate about deep platform and infrastructure engineering, solving complex scaling challenges, and enabling teams through elegant, automated solutions—this role is for you. 

About the Team 

Our Cloud Compute Platform Engineering team is at the heart of Roku’s transformation toward a single, unified platform. We design and scale Kubernetes clusters, service mesh architecture, and supporting systems to ensure all engineering teams speak the same infrastructure language. We partner with internal teams to migrate workloads, enhance CI/CD pipelines, and integrate observability and security into every layer of the stack. Collaboration and impact are core to what we do. 

What You’ll Be Doing 

• Architect, design, and deploy Roku’s next-generation cloud platform and service mesh. 
• Build and own solutions to Roku's compute problems using Docker, Kubernetes, Istio/Envoy, Terraform and scripting to evolve our tech stack and deployments. 
• Proactively drive the research and implementation of new technologies to enhance scalability, reliability, and developer experience. 
• Integrate security best practices into infrastructure design and automation. 
• Build tooling to visualize inefficiencies and optimize costs across shared-tenancy clusters, including network traffic insights, cross-cluster communication efficiency, and cost attribution. 
• Collaborate with internal teams to migrate workloads to Kubernetes + Istio, leveraging open-source observability tools. 
• Work closely with the Observability team to scale monitoring and logging solutions for a holistic view of the platform. 
• Leverage SRE principles to maintain high availability and streamline onboarding workflows. 
• Mentor team members and help define best practices for infrastructure and automation. 

We’re Excited If You Have 

• Strong hands-on experience with cloud technologies (AWS preferred; GCP or Azure is a plus), specifically in architecting and managing performant, large-scale systems handling significant traffic/data. 
• Deep knowledge of Kubernetes (EKS, GKE, AKS, or similar) and service mesh technologies. 
• Proficiency in Go or another programming language, Python or another scripting language. 
• Experience designing infrastructure and building automation tools, while collaborating with internal team members and external stakeholders. 
• Experience building CI/CD pipelines and following modern deployment practices. 
• Familiarity with observability tools (Prometheus, Thanos, Loki, Grafana, etc.). 
• Ability to work independently and communicate effectively with technical and non-technical stakeholders. 
• Passion for learning and solving complex infrastructure challenges. 
• Experience integrating AI tools to improve processes and reduce operational toil (a plus). 
• Master’s degree or equivalent experience (8+ years preferred). 

About the team 

The Observability team is part of Roku’s Cloud Technology Infrastructure organization and plays a critical role in our platform. We are a high-performing, fast-moving international team that thrives on ownership, effective communication, and delivering impactful engineering solutions. 

Our mission is to advance Roku’s observability platform, which operates at an impressive scale by ingesting terabytes of data daily and managing hundreds of millions of active series. As part of this mission, we focus on building scalable, performant systems to meet Roku’s unique needs. By leveraging open-source tools, CNCF-supported projects, and custom solutions, we enable engineering teams across Roku to monitor, debug, and optimize their applications with ease. 

What sets us apart is our results-driven culture rooted in ownership, accountability, and fast iteration. We prioritize solving meaningful engineering problems, fostering collaboration, and continually improving our team's work processes. 

About the role 

You will work on core observability systems (metrics, logs, traces) while also developing robust data pipelines and storage solutions optimized for high throughput, performance, and cost. You’ll leverage technologies such as time-series databases (TSDB), columnar storage formats (e.g., Parquet), and distributed data processing frameworks to advance the platform’s capabilities. Collaboration with cross-functional teams will be critical, as you’ll integrate observability into Roku’s cloud-native stack and contribute improvements back to the open-source community. 

• Extend and integrate open-source observability systems, and when necessary, structurally overhaul core components, such as storage layers and query paths, to enhance the performance, reliability, and usability of these tools at scale. 
• Build services to improve performance, usability, reliability, and cost efficiency. 
• Implement features like pre-aggregation, downsampling, and sampling to reduce load and accelerate queries. 
• Create developer-facing capabilities for metrics, logs, and traces usage, data quality, and cost management. 
• Automate onboarding, dashboards, alerting, and tracing. 
• Collaborate across platform and infrastructure teams to integrate observability into Roku’s cloud-native stack. 

We're excited if you have

• 8+ years in software engineering, building distributed, high-throughput systems or observability platforms. 
• 4+ years of Go/Golang experience; our observability ecosystem is built on Go, making it the most effective language for this role. 
• Experience with, or strong interest in, observability tools (Prometheus, Grafana, Loki, Tempo, ELK/OpenSearch, Clickhouse) and standards (OpenTelemetry, OpenTracing, OpenMetrics). 
• Deep understanding of distributed systems and data models 
• Hands-on experience with Kubernetes and cloud platforms (AWS, GCP, Azure). 

 #LI-AR2

ABOUT PLACER.AI: 

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.
What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.
Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.
Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.
 

SUMMARY:

• As a Senior Big Data Engineer, working within Placer.ai's Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.

RESPONSIBILITIES:

• Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
• Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
• Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
• Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure.
• Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
• Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
• Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
• Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team.

REQUIREMENTS:

• Strong hands-on Apache Spark experience — building and operating pipelines in production, not just familiarity
• Proficiency in PySpark or Scala for Spark development
• Proven track record delivering ETL pipelines and data integration at scale
• Solid SQL skills and command of data modeling concepts
• Cloud platform experience (AWS, GCP, or Azure) in a production data context
• Comfortable working with distributed systems and big data formats (Parquet, Delta Lake)

Nice to have:

• Experience with pipeline orchestration tools, particularly Apache Airflow
• Exposure to the geospatial or location analytics domain
• Familiarity with Hadoop ecosystem components
• Background in both Python and Scala (beyond Spark context)

WHY JOIN PLACER.AI? 

• Join a rocketship! We are pioneers of a new market that we are creating
• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER 

• Placer.ai's $100M round C funding (unicorn valuation!)
• See our data in action at The Anchor
• Placer.ai in the news
• Video: About Placer for Commercial Real Estate
• Video Playlist: Placer Brand & Explainer Videos

Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

May 2026

Your Impact

As a contributor in the SRE organization, you are passionate about delivering solutions to the real-time problems our mission-critical cloud native services encounter. You are also obsessed about achieving the high quality and reliability our customers demand. You will work closely not only with the 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.

Location: Remote 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 cost-effective.
• Exemplify cloud-native site reliability best practices.
• 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.
• Influence and educate the engineering organization to adopt new and improved architectural patterns.
• Provide robust documentation for use by engineers to promote self-service.
• Take calculated risks, champion new ideas, and cultivate your craft.

What You Bring 

• 5+ years of applicable experience
• Experience managing cloud platforms such as Azure, AWS, or similar.
• Experience using managed languages such as Python, Go, C#, Java, or similar.
• Experience operating in Kubernetes platforms like AKS, EKS, or similar.
• Experience utilizing CI/CD platforms to automate provisioning infrastructure, software builds, tests, and releases.
• Experience using observability tools such as APM, logging, and metrics to assist with debugging issues.
• Experience using Infrastructure as Code tools for provisioning infrastructure such as Terraform, AWS CloudFormation, or similar.
• Builder-operator mindset with proven production ownership (uptime, SLOs, on-call, incident leadership).
• Empathy to support the needs of software engineers.

Your Impact
As a Technical Account Manager at Axon, you will be the primary point of contact for key customers, fostering long-term strategic partnerships. You will provide technical expertise, project management, and customer advocacy to ensure stakeholders achieve operational goals using Axon’s products. Collaborating with cross-functional teams, you will offer valuable insights into customer needs and challenges, influencing internal product roadmaps and projects. Wearing multiple hats—from consultant to product expert to project manager—you will help customers optimize their daily workflows.

You will play a crucial role in ensuring Axon’s solutions align with key customer requirements while providing exemplary technical support and customer service. Your expertise and commitment will directly contribute to Axon’s mission of protecting life and enabling transparency through innovative technology.

What You’ll Do
Location: Grande Prairie 
(hybrid - onsite 3-4 days per week)
Travel Expectations: approx. 30% domestic Canada
Reports to: Service Delivery Manager, Canada

• Achieve expertise in Axon technologies, with a Primary focus on Axon Records
• Serve as the primary technical liaison between Axon and the customers.
• Participate in operational and technical meetings, ensuring effective communication and collaboration.
• Build and maintain an internal Axon network to support both the customer-facing Axon team and the customer Project Team.
• Monitor support tickets, provide technical troubleshooting (tier 2 level support) and escalate when necessary.
• Ensure Service Level Requirements (SLRs) and contractual obligations are met.
• Assist the Program Manager by providing requested materials, information, and Voice of Customer (VOC) documentation. Communicate customer feedback across Axon teams and collaborate to drive product improvements.
• Identify and escalate risks to the Program Manager to facilitate internal and executive collaboration.
• Interpret and communicate Axon release notes, tailoring information relevant to the customer to enhance understanding and drive product adoption.
• Support monthly invoicing by ensuring reliable billing counts and maintaining Salesforce records.
• Facilitate training and knowledge transfer for customer integrations (APIs, workflows, auto-tagging, etc.).
• Assist in customer security assessments and vendor refresh assessments for major architectural changes.
• Maintain knowledge of the customer’s technical landscape, including infrastructure, policies, and procurement processes.
• Maintain and administer deployment records, including shipment tracking and RMA’s.
• Develop and enhance technical documentation and knowledge base articles to improve customer support, self-service capabilities, and overall product comprehension.

What You Bring

• Canadian Citizenship and past 5 years Canadian residency required (required for working with sensitive government data; must pass security clearance).
• 5+ years of IT experience in a support or deployment role.
• Experience working with law enforcement and/or government entities.
• Proven track record of managing customer relationships and technical projects successfully.
• Ability to work autonomously to meet objectives with minimal oversight.
• Robust IT background, with expertise in:
• Software image creation and maintenance.
• Routing, switching methodologies, Wi-Fi, telecommunications, and Internet technologies.
• Microsoft Server & Client operating systems, Microsoft SQL Server, Active Directory, Azure (Entra ID).
• JSON (JavaScript Object Notation) Knowledge
• Network Administration (TCP/IP, DHCP, DNS, SSH, Firewalls).
• API integrations and SAAS applications.
• Solid ability to tailor technical discussions to varied audiences.
• Analytical, strategic, and creative problem-solving skills.
• Exemplary written and verbal communication skills.
• Highly detail-oriented with proficient organizational and time management skills.

At MongoDB, our Account Development team works closely with our partners in both Sales and Marketing to build fanatical customer enthusiasm around MongoDB. ADR reps are responsible for identifying and qualifying new opportunities for our sales organization. 

We view our Account Development program as the best way to turbocharge a long and successful career in sales and view our Account Development Representatives (ADRs) as the next wave of Account Executives at MongoDB.

We are looking to speak to candidates who are based in Tel Aviv for our hybrid working model.

The Opportunity

Being an ADR is often a first step to jump-starting a career in sales. At MongoDB, we have a culture that celebrates diversity, fosters growth and enablement, and ensures that we provide our ADRs with the tools and the confidence that they need to grow their careers. We invest heavily in the training and development of our team. You will always have the support from our sales enablement org and managers that will maintain 1:1 coaching throughout your career here.

Our ADRs gain an understanding of our product, community, who we sell to, why they care, and what makes us relevant. They learn how to generate a pipeline quickly and effectively as well as how to achieve a good discovery and qualification. The team is a crucial resource for sales teams across MongoDB to get great talent from. This helps us scale our teams, as well as ensure that we have a culture of meritocracy.

Day to Day

• Identify high-potential businesses that would be a good fit to work with MongoDB across your region
• Work with the Sales team to develop and lead inbound and outbound campaigns from idea-generation through to qualified call
• Develop strong sales and product knowledge
• Interact with IT and business decision makers via telephone and email
• Update lead and prospect activity in Salesforce to ensure effective lead management
• Set qualified introductory meetings for the Sales team
• Nurture early phase opportunities for future pipeline potential
• Exceed monthly and quarterly opportunity quota
• Build strong relationships with our marketing team and Account Executives, where we pull togethe
• r to maximize the win for our business
• Invest in your self-development, focusing on the skills and attributes that will make you successful in your core role and get you set for future success

What You Will Bring to the Table

• A self-starter with a track record of hitting and exceeding goals
• Outstanding communication skills in Hebrew (native level) and English (fluent)
• Time management skills and ability to work either independently or through coaching
• Desire to work in a fast-paced and high growth environment
• Passionate about cutting-edge technology with the aptitude to learn new and exciting IT software products, as well as, understand business critical solutions quickly 

Things We Love

• Strong and progressive academic background
• Proven track record of success in sales or business development or customer facing roles in a target driven environment, ideally in the tech industry
• Familiarity with database, web server, and open source technology
• Working experience with Salesforce.com

Why You Should Apply

• Great Earning Potential 
• Welcoming and inclusive workplace Meet MongoDB’s Employee Affinity Groups!
• Continuous career development
• Sales training in MEDDIC and Command of the Message
• Benefits include: 
• Sales Bootcamp
• Internal mentor and buddy program cross-departmentally

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID: 2273436097

MongoDB is looking for a strategic, high-impact Senior Regional Marketing Manager to own the end-to-end marketing strategy and execution for Israel, a high-growth strategic market characterized by its unique "Startup Nation" ecosystem. This role requires a proactive business partner who acts as the "marketing leader for the region," driving market expansion and revenue growth through an integrated, campaign-led strategy. You will play a pivotal role in driving growth by balancing an executive approach with a high-impact developer enablement strategy. Your goal is to not only win the hearts of C-level decision-makers but also to empower and upskill the developer communities from our most strategic accounts to the start ups ensuring MongoDB becomes their platform of choice. 

The role will report to the Lead, Regional Marketing for CEEUR & Israel. 

We are looking to speak to candidates who are based in Tel Aviv for our hybrid working model.

Candidate Profile 

• Experience: 10+ years of marketing experience in a technology company (B2B SaaS preferred), with a proven track record in the Israeli market
• Business Acumen: A true "Commercial Marketer" who connects marketing activities directly to business outcomes, revenue, and commercial growth. Proven experience to work with sales teams
• Communication: Exceptional executive presence; able to influence senior leadership and sales RVPs using data-driven insights
• Leadership traits: strong sense of ownership & professional maturity
• Autonomy: highly proactive and data driven mindset
• Hebrew native + English (mandatory)
• Strong project management skills with exceptional attention to detail
• Problem solving skills with the ability to work autonomously
• Positive, can-do attitude
• Salesforce/Eloqua/Wrike/Splash experience preferred

Core Responsibilities & Position Expectations

• Strategic Ownership: Fully own the development and execution of the Israel Regional Marketing Plan, ensuring it is a cohesive strategic narrative aligned with business priorities like pipeline generation and market expansion tailored to Israel's verticals : Cyber, FSI, Government and StartUps
• Strategic Business Partner: Act as a trusted advisor to Regional Directors and Account Executives, proactively identifying regional opportunities and discovering key decision-makers within strategic accounts
• Drive Developer Enablement: Actively lead initiatives to upskill the developer community within your assigned accounts. This includes organizing technical workshops, "Dev Days," and hands-on enablement sessions that remove friction and drive MongoDB adoption from the ground up
• Data-Driven Decision Making: Leverage intent signals and attribution tools (e.g., Zoom info, Salesforce) to deploy targeted campaigns and measure ROI
• Startup Community Engagement: Actively lead initiatives to upskill and engage the local startup and developer communities. This includes organizing technical workshops, "Dev Days," and hands-on enablement sessions that drive MongoDB adoption from the ground up
• C-level Programs: Design and lead high-impact programs specifically for C-level personas, building long-term trust through peer-to-peer networking and strategic modernization discussions
• Digital Excellence: Leverage intent signals to deploy targeted digital campaigns that nurture technical champions and influence the broader buying committee
• Orchestrate the “One Team” Approach: Lead the cross-functional coordination between Partner Marketing (AWS, GCP, Azure), Developer Advocacy, and Customer Success to ensure a unified MongoDB voice across every touchpoint
• Travel required up to 25%

Success Measures

• In 3 Months: You will have established deep trust with sales leaders, fully owned the revised Israel FY27 strategy, and transitioned your reporting to focus on business outcomes over activity volume
• In 6 Months: You will be recognized as a proactive "Marketing Lead" who identifies market gaps and proposes solutions independently, showing measurable impact on pipeline acceleration 
• In 12 Months: You will have built a best-in-class commercial marketing engine in Israel, demonstrated professional resilience in a high-pressure environment, and established a culture of accountability for all regional marketing investments

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID: 1273426142

Role Overview

We are seeking a Senior NetSuite Engineer to serve as a technical and functional owner of NetSuite, with deep expertise across Order-to-Cash (O2C), Record-to-Report (R2R), and core accounting processes. This role will partner closely with Finance, Accounting, Revenue Operations, Tax, and IT to design, build, and scale NetSuite solutions that enable accurate financial reporting, operational efficiency, and compliance.

The ideal candidate combines strong accounting domain knowledge with hands-on NetSuite configuration and development expertise, and has experience supporting complex revenue models, multi-entity environments, and close automation.

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

Key Responsibilities

NetSuite Ownership & Solution Design

• Act as a senior technical and functional lead for NetSuite, owning design decisions and best practices across O2C and R2R
• Translate business requirements into scalable NetSuite solutions using native configuration and custom development where required
• Lead NetSuite architecture decisions across subsidiaries, accounting books, and integrations

Order-to-Cash (O2C)

• Own NetSuite support and enhancements for
• Quotes → Sales Orders → Billing → Revenue Recognition → Cash Application
• Configure and optimize
• Billing schedules, invoice automation, and credit memo workflows
• Revenue Recognition including SSP, fair value pricing, and rev rec rules
• Multi-element arrangements, usage-based billing, subscriptions, and amendments
• Partner with Sales Ops and RevOps on
• Salesforce → NetSuite integrations
• Deal structure validation and downstream accounting impacts
• Reduce manual effort, billing errors, and revenue leakage through automation and controls.

Record-to-Report (R2R) & Accounting

• Own NetSuite processes supporting
• General Ledger, AP, AR, Fixed Assets, Intercompany, and Consolidations
• Design and enhance
• Month-end and quarter-end close workflows
• Journal entry automation and approvals
• Account reconciliations and variance analysis support
• Support multi-entity, multi-currency, and multi-book accounting environments
• Ensure alignment with GAAP/IFRS requirements, SOX controls, and audit readiness

Customization & Development

• Develop and maintain
• SuiteScript (1.0 / 2.x), SuiteFlow workflows, SuiteBuilder customizations
• Saved searches, dashboards, KPIs, and financial reports
• Build robust approval workflows, validations, and exception handling
• Optimize system performance and reduce technical debt

Integrations & Data Management

• Own and support integrations between NetSuite and
• Salesforce, billing platforms, payment processors, banks, tax engines, and data warehouses
• Partner with integration teams to ensure
• Data accuracy, idempotency, and error handling
• Lead data migrations, transformations, and historical data loads

Controls, Compliance & Audit

• Design and maintain SOX-compliant controls within NetSuite
• Support internal and external audits by
• Providing system documentation
• Explaining configurations and accounting logic
• Ensure strong role-based access controls and segregation of duties

Stakeholder Partnership & Leadership

• Serve as a trusted advisor to
• Accounting, FP&A, RevOps, Tax, and Finance leadership
• Lead NetSuite initiatives including
• New module rollouts
• Re-implementations or major upgrades
• Mentor junior NetSuite administrators and engineers
• Create and maintain system documentation and runbooks.

Required Qualifications 

• 7–10 years of experience with NetSuite ERP environments
• Strong hands-on experience supporting O2C and R2R processes
• Experience in SaaS, subscription, or usage-based revenue models strongly preferred
• Proven experience supporting month-end close and revenue accounting teams

Technical Skills

• Expert in: NetSuite GL, AR, AP, Revenue Management, and Billing
• SuiteScript (2.x preferred), SuiteFlow, and Saved Searches
• Strong experience with:
• Revenue Recognition (ASC 606)
• Multi-entity and intercompany accounting
• NetSuite integrations and data imports
• Concur, Coupa and other financial systems

• Working understanding of:
• GAAP accounting principles
• Revenue recognition and deferred revenue
• Financial close and reporting processes
• Ability to connect system design decisions to downstream accounting and reporting impacts

Soft Skills

• Excellent communication skills; able to bridge technical and accounting audiences
• Strong problem-solving mindset with attention to detail
• Comfortable operating in fast-paced, ambiguous environments
• Ability to lead initiatives independently and influence without authority

Preferred Qualifications

• NetSuite certifications (Administrator, ERP Consultant, SuiteCloud Developer)
• Experience with
• SOX-compliant environments
• Pre-IPO or public company finance systems
• Global tax engines (Avalara, Vertex)
• Prior experience leading a NetSuite re-implementation or major transformation

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

MongoDB is seeking an Engineering Manager to join the Atlas Clusters Organization. The organization is responsible for building MongoDB Atlas, our database-as-a-service offering and fastest growing product. 

Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB.

The Atlas Clusters Fleet Signal Management team is a product engineering team that builds machinery to rollout hardware and software to the Atlas data plane, detect regressions at scale, and automate remediative actions. The core mission is to establish platform stability by owning the rollout and monitoring systems designed to swiftly detect and mitigate potential issues.

We are forming a new Atlas Clusters Fleet Signal Management team in the Dublin area. The Engineering Manager who fills this position will be pivotal in growing that team. 

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

What you’ll do

• Lead a team of motivated individual contributors who are eager to learn and grow
• Contribute to the code, design, and architecture of the systems your team develops
• Work with stakeholders throughout MongoDB to build our roadmap and product offerings
• Work with customers and support engineers to fix issues and become part of our on-call rotation 
• Collaborate with team members to develop our codebase, best practices, and design principles
• Foster an inclusive and respectful work environment according to MongoDB's Core Values

We’re looking for someone who

• Has at least 8 years of professional software development experience
• Has at least 3 years of people management experience
• Has led engineering teams that have built and maintained large scale systems
• Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, etc.)
• Has experience with streaming architectures
• Has experience with at least one major cloud provider technology (AWS, Azure, GCP)
• Has experience deploying various types of software to a fleet of VMs 
• Is eager to solve tough problems
• Has excellent communication skills
• Is curious, collaborative, and motivated

Success Measures

• In 1 month, you'll be familiar with the foundational parts of the system, the existing features, and projects within the Atlas Clusters team
• In 3 months, you will be contributing to design and development of your team’s projects and working on your team’s growth
• In 6 months, you and your team will have ramped enough to take on medium sized projects and you will be leading your team towards its product and engineering goals. You will be supporting our customers during escalations and have joined our on-call rotation.

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID: 1273387832

MongoDB is seeking an Engineering Manager to join the Atlas Clusters Organization. The organization is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes. This includes developing software to interface with the three major cloud providers (AWS, Azure, and GCP) in order to bring security, durability, availability, and performance to all deployments of MongoDB.

The Atlas Clusters Security team creates a first-in-class cloud database security experience for our wide range of sophisticated customers. We are a product engineering team that develops and maintains Atlas features and services for cluster networking, data encryption, database authentication, and customer-facing security controls—enabling countless mission‑critical applications across the world.

We are forming a new Atlas Clusters Security team in the Dublin area. The Engineering Manager who fills this position will be pivotal in growing that team. This is a product engineering leadership role.

We are looking to speak to candidates who are based in Dublin for our hybrid working model.

What you’ll do

• Manage a team of motivated individual contributors who are eager to learn and grow
• Contribute to the code, design, and architecture of the systems your team develops
• Work with stakeholders throughout MongoDB to build our roadmap and product offerings
• Work with customers and support engineers to fix issues
• Foster an inclusive and respectful work environment according to MongoDB's Core Values

We’re looking for someone who

• Has at least 6 years of professional software development experience
• Has at least 3 years of people management experience
• Has led engineering teams that have built and maintained large scale systems
• Is skilled at writing large-scale, distributed backend systems in a compiled language (Go, Java, C#, C++, etc.) Java or Go experience is a plus
• Has experience with at least one major cloud provider (AWS, Azure, GCP)
• Is excited to build customer‑facing security features in Atlas and to partner with security experts; prior hands‑on security experience (e.g., authentication/authorization, network access controls, encryption) is a plus
• Is eager to solve tough problems
• Has excellent communication skills
• Is curious, collaborative, and motivated

Success Measures

• In 1 month, you'll be familiar with the foundational parts of the system, the existing features, and projects within the Atlas Clusters Security team
• In 3 months, you will be contributing to design and development of your team’s projects and working on your team’s growth
• In 6 months, you and your team will have ramped enough to take on medium sized projects and you will be leading your team towards its product and engineering goals

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID: 1273387830

The Enterprise Advanced team is a diverse group of individuals across Europe and India, who develop software to run MongoDB on any type of infrastructure at global scale. Our software and services allow users to deploy fault-tolerant, globally distributed MongoDB clusters in minutes.

The main focus of this team is to adapt our software to manage MongoDB clusters which are deployed in data centers or private cloud platforms, while offering cutting edge capabilities to our self-managing customers.

You will work on the core functionality for all of our products, mainly on the Ops Manager, Cloud Manager, and Automation products.  Our team's end users are some of the largest businesses in the world, deploying massive clusters and processing huge amounts of data.

We are looking to speak to candidates who are interested in being based in Dublin for our hybrid working model, or remotely within Ireland.  This role will report to an Engineering Manager based in Poland. 

What you’ll do

• Design, implement, test, and release features for  Ops Manager
• Test and incrementally ship elements of complex projects
• Apply our core values to your work, in planning, design, and coding
• Assist with troubleshooting bugs in customer deployments

A great fit for this role will be

• Someone who loves programming!
• Someone who enjoys working with others to achieve a common goal!
• You're flexible! You're willing to take on a wide variety of responsibilities, learning as you go
• You're a self-starter! You're comfortable organizing your own time, acting on feedback and prioritizing with guidance from senior members of your team

Requirements

• Experience with a language such as Java or Go
• Familiarity with Continues Integration and Continues Delivery Pipeline concepts
• Familiarity with multi-threaded, asynchronous, distributed systems
• Good knowledge of Computer Science fundamentals (data structures and algorithms)
• Good understanding of Object Orientation concepts
• Ability to think conceptually and design modular, complex systems

Nice to haves

• Familiarity running services on Cloud Infrastructure (Amazon AWS, Google Cloud Platform, Microsoft Azure), using containers and/or container orchestration platforms (Docker, Kubernetes, Openshift)
• Familiarity with CI/CD tooling and release infrastructure integrations (Github Actions, Jenkins, etc.) and Build Tools (Bazel)
• Experience working directly with production systems
• Experience or interest in full-stack web application development

What is in it for you:

• Generous compensation package (top-range salary, equity, comprehensive benefits)
• Flexible working options
• Opportunities to learn on the job (time to upskill in new technologies)
• Team budget for attending industry-specific conferences and training
• High level of independence in your day to day work
• Engineers in our team have the chance to work with multiple programming languages (JAVA, Javascript/React, Golang)
• You'll be joining a good-humored supportive team that works well together!

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

REQ ID: 1273351993

About the role

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Acquisition Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition.

About the Sales Culture

MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry.

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

What you’ll be doing

• Sales strategy and execution: Develop and implement strategic sales plan to achieve revenue goals in the Public Sector with strong focus in Defence, Home Affairs, Paramilitary Forces
• Relationship management: Build and maintain strong, long-term relationships with key Government Stakeholders - Senior Government Officials, Consultants, GSIs and Partners
• Business development: Identify new opportunities, generate leads, and pursue new government clients while also expanding business with existing ones
• Tender and proposal management: Work closely with Government Departments to make sure MongoDB is part of Tech Stack in tenders. Also to Monitor and respond to government tenders, RFPs, and RFQs, coordinating with internal teams to ensure timely and accurate proposal submissions
• Sales cycle management: Lead the sales process from lead generation and qualification through to contract negotiation and closure
• Performance and reporting: Set sales targets, monitor sales performance metrics, analyse market trends, and provide regular reports on activities and forecasts to senior management
• Internal collaboration: Work with internal teams, such as solution architects and delivery teams, to ensure seamless execution from contract award to delivery
• Internal Development: Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs

What you will bring to the table

• BE/Tech/BCA/BS (Computers) required
• 10+ years of field experience of quota-carrying experience in Public Sector with a focus on new business
• Demonstrated ability to articulate the business value of complex enterprise technology in Public Sector Accounts
• A track record of overachievement and hitting sales targets annually
• Skilled in building business champions within Government Accounts and running a complex sales process within Government Ministries and Departments
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, devops and open source technology is a plus
• Driven and competitive: Possess a strong desire to be successful
• Skilled in managing time and resources; sound approach to qualifying opportunities
• Possess aptitude to learn quickly and establish credibility. High EQ and self-aware
• Passionate about growing your career in the largest market in software (database) and developing and maintaining an in-depth understanding of MongoDB products[1] 

Things we love

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus

Why join now

• MongoDB invests heavily in the development of each of our new hires & continuous career development
• Accelerators up to 30%
• Best in breed Sales trainings in MEDDIC and Command of the Message, including our comprehensive Sales Bootcamps and development programs
• New hire stock equity (RSUs) and employee stock purchase plan
• Generous and competitive benefits (parental leave, fertility & wellbeing support)
• Friendly and inclusive workplace culture - Learn more about what it’s like to work at MongoDB

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID - 3263283618

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

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

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

This role can be remotely in the India region.

About You

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

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

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

Key Responsibilities

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

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

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

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

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

What You'll Bring:

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

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

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

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

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

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

Why Join MongoDB

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

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

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

As a Staff Technical Program Manager, you will own the successful delivery of complex, cross-functional efforts. You will partner closely with stakeholders across the organization from Engineering, Product, Product Design, and even Field-facing teams to develop and execute against our overall product vision and business objectives, uncover solutions to technical challenges, and provide data-driven insights that power strategic decision-making.

We are looking to speak to candidates who are based in Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Columbus, Dallas, Miami, Nashville, New York City, Philadelphia, Raleigh, Washington DC, Tysons for our hybrid working model.

Position Expectations

• Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
• Recognize patterns in a sea of information and take action accordingly
• Develop a strategic approach to program management that balances agility and process. This involves discerning when to provide direct guidance and when to empower teams by establishing clear frameworks and guidelines for ongoing initiatives
• Build strategic partnerships with Product, Design, and Engineering stakeholders
• Expand knowledge into new domains as called upon
• Act as a mentor to junior TPMs and lead by example
• Embody MongoDB's core values and leadership principles

The right candidate for this role will be

• Experienced with 10+ years of working in an engineering organization leading complex cross-functional technical programs
• Experienced with 5+ years of Software development background
• Able to partner with technical stakeholders in methodically breaking down engineering challenges to deliver against abstract goals
• Able to participate in technical design discussions and summarize trade-offs, outcomes, and next steps
• Skilled at communicating across a diverse set of engineers and stakeholders
• Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
• Hyper-organized and capable of coordinating across multiple independent work streams and organizations
• A role model for effective execution practices, driven by an attuned sense of priority and urgency
• Able to leverage their experience in program delivery to influence improvements to our tools, operations, architecture
• Trained in working with project tracking software (e.g. Jira, Rally, MS Project)
• Familiar with MongoDB or a comparable technology

Nice to have!

• Exposed to generative AI and Machine Learning
• Interested in business automation work such as scripting in Python, Google Apps Script and Slack
• Familiar with tools and methodologies for code analysis, refactoring, and automated testing

About MongoDB

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

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

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

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

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

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 2263203305

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

We are seeking an exceptional Principal Technologist to join our team. This pivotal role will be responsible for driving the adoption of MongoDB among our most strategic customers by engaging senior technical leadership to position MongoDB as the ideal solution for modernizing legacy applications and building modern, GenAI applications.

This role can be based out of remotely in the APAC region.

Key Responsibilities

• Engage and influence executives and technical decision-makers at Fortune 1000 companies and create awareness and understanding of our products
• Aligned with Sales, work with our Strategic Developer Relations team (comprised of senior engineers with deep MongoDB experience) to develop and deliver technical engagements and targeted education sessions
• Develop and maintain deep technical expertise in MongoDB's product and solutions as well as industry trends and competitors' offerings
• Gather feedback and assess customer sentiment to influence product roadmap and advocate for our customers
• Represent MongoDB at industry conferences, trade shows, and technical events.
• Contribute to thought leadership through blog posts, whitepapers, and speaking engagements.

Qualifications

• 10+ years of technical consulting experience in Principal-level roles in Solutions Architecture, Developer Advocacy, Software Architecture, or Enterprise Consulting
• Recognized technical leader with deep hands-on experience implementing enterprise-scale RDBMS, MongoDB, or other database solutions
• Proven track record of enterprise project ownership and team leadership, preferably in modernization initiatives involving migration of legacy database technology platforms (e.g., Oracle, DB2, Sybase, etc.)
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
• Strong understanding of database architectures, distributed systems, and cloud computing concepts, with experience in distributed systems design, including scalability, fault tolerance, and consistency models
• Experience in performance tuning, scalability, and high availability designs for large-scale database implementations
• Familiarity with modern application development frameworks and current proficiency with at least one of: Java, C#, Python
• Bachelor's or advanced degree in Computer Science, Engineering, or related field, or equivalent experience

Additional Requirements

• There are two components to the role: in-person engagements and the ability to scale your influence through published content. We are looking for someone that can travel extensively (up to 50% of the time), but an outsized online presence can mitigate against this need for travel
• Exceptional problem-solving skills and the ability to think strategically
• Excellent interpersonal skills and the ability to build and nurture relationships with C-level executives and senior technical decision-makers

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID - 4253000823

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Senior Enterprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition.

We are looking to speak to candidates who are based in Singapore for our hybrid working model.

Responsibilities

• Proactively prospect, identify, qualify and develop a sales pipeline
• Close business to meet and exceed monthly, quarterly and annual bookings objectives
• Build strong and effective relationships, resulting in growth opportunities
• Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs
• Work closely with the Professional Services team to achieve customer satisfaction

Requirements

• BA/BS required
• 8+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus in Singapore Strategic account
• Demonstrated ability to articulate the business value of complex enterprise technology
• A track record of overachievement and hitting sales targets
• Skilled in building business champions and running a complex sales process
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus
• Driven and competitive: Possess a strong desire to be successful
• Skilled in managing time and resources; sound approach to qualifying opportunities
• Possess aptitude to learn quickly and establish credibility. High EQ and self-aware
• Passionate about growing your career in the largest market in software (database) and developing and maintaining an in-depth understanding of MongoDB products
• Ability to present & excellent listening skills
• Daring selling approach | consultative selling
• Strong exposure to handling the assigned Market Track record of maintaining relationships with accounts
• Experience working with Channels & Ecosystems of ASEAN.

Things we love

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus

Why join now

• MongoDB invests well above the industry average in development of each of our new hires & continuous career development
• Accelerators up to 30%
• Best in breed Sales trainings in MEDDIC and Command of the Message, including our comprehensive Sales Bootcamps and development programs
• New hire stock equity (RSUs) and employee stock purchase plan
• Generous and competitive benefits (parental leave, fertility & wellbeing support)
• Friendly and inclusive workplace culture - Learn more about what it’s like to work at MongoDB,

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

We’re looking for a Regional Vice President to lead our Americas Sales Development organization. Sales Development at MongoDB is a strategic and crucial part of the sales organization, precision‑aligned to the top of the funnel to fuel the business with high‑value, strategic workloads. The RVP will own the vision, strategy, and execution for Sales Development in the Americas, driving operational excellence, developing world class leaders, and succession planning for the next generation of MongoDB Sales executives.

Sales Development is also the entry point for our BDR to CRO career development program, which provides transparent, performance‑based paths into Corporate Sales, Enterprise Sales, and Sales leadership roles. As RVP, you will be accountable for both near‑term pipeline results and long‑term talent development in the Americas.

We are looking to speak to candidates who can work in a hybrid model from one of our key regional hubs.

What you’ll do

• Own and operationalize the Americas Sales Dev strategy. Define and execute the regional strategy aligned to MongoDB’s focus on quality pipeline generation as the primary success metric. Own headcount, coverage, and regional targets with Sales, Finance, and GTM Operations; and run a data-driven operating model with clear KPIs, disciplined forecasting, and weekly reporting
• Modernize Sales Development with AI-enabled workflows that amplify rep effectiveness, expand market coverage, and create capacity for deeper, more strategic customer engagement
• Lead, coach, and scale a high-performing leadership bench. Lead a strong bench of second-line leaders and frontline SD managers, set a rigorous operating rhythm (QBRs, weekly forecast and funnel reviews, performance and enablement cadences), and deliver exceptional coaching so your leaders run world-class 1:1s and team reviews using data-driven insights to raise the bar on performance
• Drive top-of-funnel excellence across the Americas. Raise the bar on qualification, discovery, and handoff quality so opportunities are well-scoped, strategically important workloads, and partner closely with Field RVPs/RDs on account coverage, segmentation, and inbound vs. outbound motions to ensure Sales Dev is focused on the highest-value parts of the market
• Build a true talent factory for MongoDB Sales. Proactively recruit top-tier Sales Development leaders, partner with Sales Enablement to leverage programs such as Sales Bootcamp, MEDDICC, Command of the Message, and BDR to CRO, and hold a clear point of view on promotion criteria, internal mobility, and readiness so your leaders build robust backfill and successor pipelines that make the org a career accelerator
• Align cross-functionally to maximize impact. Work with Marketing to align campaigns and events to Sales Dev coverage and conversion goals, partner with GTM Operations on territory design, capacity planning, compensation, and NWL definitions, and collaborate with Product, Sales, and Customer Success leaders to ensure Sales Dev messaging reflects MongoDB’s differentiated value in modernization and AI workloads
• Model MongoDB’s culture and leadership principles. Model MongoDB’s Leadership Commitment and people-first culture by creating an inclusive, high-trust, performance-oriented environment where feedback, coaching, and continuous learning are the norm, Sales Dev is recognized as a key source of future MongoDB leaders, and leaders are held accountable for how results are achieved—not just the numbers

We’re looking for someone with

• 10+ years of experience in software or platform technology sales, including time as a quota‑carrying Account Executive with full‑cycle closing responsibility and 2+ years as a leader of leaders
• Proven experience building and leading Sales Development organizations at scale for top‑tier software companies
• Experience building and executing a regional strategy (coverage, plays, capacity, and hiring) that materially improved pipeline quality and new revenue creation
• Known for being highly process‑oriented and operationally excellent. You create structure where there is none, codify simple and transparent promotion criteria, and drive rigorous inspection of pipeline, productivity, and performance
• Strong grounding in modern sales methodologies such as MEDDIC/MEDDPICC, Challenger, or Command of the Message, with the ability to operationalize these frameworks at the top of the funnel
• Proven success recruiting, onboarding, and developing high‑potential leaders. Experience building a strong leadership bench through succession planning, clear promotion standards, and ongoing coaching
• Ability to articulate the business value of complex cloud, data, or infrastructure technology in simple, outcomes‑based language for both technical and business audiences. You don’t just “talk” tech, you know how to sell it and how to coach others to do the same
• Known for raising the bar, building diverse and inclusive teams, and operating with high integrity
• Strong communication skills, with the ability to influence cross‑functional peers and executive stakeholders
• High emotional intelligence and adaptability—you can navigate the stressors of high growth while keeping your leaders and teams focused, motivated, and connected to our mission

About MongoDB

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

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

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

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

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

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273401459

We are looking for a detail-oriented, strategic, and outcomes-driven Principal Analyst to join our GTM Operations team, supporting processes and systems across our global go-to-market (GTM) organization — including Customer Success, Sales, and other customer-facing teams.

You will act as a senior thought partner to GTM leadership, owning complex, cross-functional initiatives that improve operational efficiency, drive data-informed decision making, and scale our customer lifecycle processes globally. This role requires the ability to influence senior stakeholders across functions and regions, navigate ambiguity, and turn strategy into measurable business impact.

We are looking to speak to candidates who are based in the United States for our hybrid or remote working models.

As a Principal GTM Operations Analyst, you will:

• Partner with senior leaders across Customer Success, Sales, and other GTM teams to design, optimize, and scale core processes across the customer lifecycle, including customer engagement, renewals, and account management workflows
• Own the strategy, design, and continuous improvement of global operational processes, ensuring scalability, consistency, and alignment to GTM and company priorities across regions
• Translate ambiguous business problems into clear operational and technical requirements, working closely with CRM Engineering and GTM Systems teams to deliver high-impact system and tooling improvements
• Drive material improvements in activity tracking, customer health signals, lifecycle workflows, and other key operational insights to enable better customer engagement, planning, and outcomes
• Define, instrument, and monitor key performance indicators and operational metrics to evaluate GTM initiatives and provide clear, data-driven recommendations to leadership
• Lead complex, cross-functional programs from problem definition through execution, including roadmap ownership, stakeholder alignment, risk management, and executive updates
• Establish and maintain governance frameworks, operating cadences, and documentation to ensure process clarity, adoption, and continuous improvement across global GTM teams
• Proactively identify operational gaps and inefficiencies, quantify impact, and propose data-driven solutions that improve GTM productivity, customer outcomes, and revenue performance
• Serve as a mentor and senior partner within the GTM Operations team, helping raise the bar on process design, execution, and cross-functional collaboration
• Bring forward new ideas, tools, and best practices that improve how we scale GTM operations globally

The Ideal Candidate has:

• Bachelor’s Degree in Business, Economics, Finance, Computer Science, or a related field
• 7+ years of work experience in GTM Operations, Revenue Operations, Sales Operations, Customer Success Operations, Business Operations, or a related field
• Demonstrated ability to solve complex, ambiguous problems end-to-end — from framing and analysis through recommendation, execution, and measurement
• Proven track record of designing and scaling GTM processes and driving measurable process and productivity improvements for a global GTM organization
• Experience leading cross-functional projects and programs with multiple senior stakeholders, with a strong ability to influence without direct authority
• Excellent communication skills, including the ability to synthesize complex concepts into clear narratives and influence both business and technical stakeholders, including senior leaders
• Deep experience with CRM systems, particularly Salesforce, and familiarity with GTM tooling
• Experience in a consumption/pay-as-you-go business model is a plus
• Strong organizational skills and the ability to manage multiple, competing priorities in a fast-paced, globally distributed organization
• A proactive, ownership-minded approach and the ability to operate with a high degree of autonomy and accountability for outcomes

About MongoDB

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

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

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

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

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

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273423069

Your Impact
As a Technical Account Manager at Axon, you will be the primary point of contact for key customers, fostering long-term strategic partnerships. You will provide technical expertise, project management, and customer advocacy to ensure stakeholders achieve operational goals using Axon’s products. Collaborating with cross-functional teams, you will offer valuable insights into customer needs and challenges, influencing internal product roadmaps and projects. Wearing multiple hats—from consultant to product expert to project manager—you will help customers optimize their daily workflows.

You will play a crucial role in ensuring Axon’s solutions align with key customer requirements while providing exemplary technical support and customer service. Your expertise and commitment will directly contribute to Axon’s mission of protecting life and enabling transparency through innovative technology.

What You’ll Do
Location: Manitoba First Nations
(hybrid - onsite 3-4 days per week)
Travel Expectations: approx. 30% domestic Canada
Reports to: Service Delivery Manager, Canada

• Achieve expertise in Axon technologies, with a Primary focus on Axon Records
• Serve as the primary technical liaison between Axon and the customers.
• Participate in operational and technical meetings, ensuring effective communication and collaboration.
• Build and maintain an internal Axon network to support both the customer-facing Axon team and the customer Project Team.
• Monitor support tickets, provide technical troubleshooting (tier 2 level support) and escalate when necessary.
• Ensure Service Level Requirements (SLRs) and contractual obligations are met.
• Assist the Program Manager by providing requested materials, information, and Voice of Customer (VOC) documentation. Communicate customer feedback across Axon teams and collaborate to drive product improvements.
• Identify and escalate risks to the Program Manager to facilitate internal and executive collaboration.
• Interpret and communicate Axon release notes, tailoring information relevant to the customer to enhance understanding and drive product adoption.
• Support monthly invoicing by ensuring reliable billing counts and maintaining Salesforce records.
• Facilitate training and knowledge transfer for customer integrations (APIs, workflows, auto-tagging, etc.).
• Assist in customer security assessments and vendor refresh assessments for major architectural changes.
• Maintain knowledge of the customer’s technical landscape, including infrastructure, policies, and procurement processes.
• Maintain and administer deployment records, including shipment tracking and RMA’s.
• Develop and enhance technical documentation and knowledge base articles to improve customer support, self-service capabilities, and overall product comprehension.

What You Bring

• Canadian Citizenship and past 5 years Canadian residency required (required for working with sensitive government data; must pass security clearance).
• 5+ years of IT experience in a support or deployment role.
• Experience working with law enforcement and/or government entities.
• Proven track record of managing customer relationships and technical projects successfully.
• Ability to work autonomously to meet objectives with minimal oversight.
• Robust IT background, with expertise in:
• Software image creation and maintenance.
• Routing, switching methodologies, Wi-Fi, telecommunications, and Internet technologies.
• Microsoft Server & Client operating systems, Microsoft SQL Server, Active Directory, Azure (Entra ID).
• JSON (JavaScript Object Notation) Knowledge
• Network Administration (TCP/IP, DHCP, DNS, SSH, Firewalls).
• API integrations and SAAS applications.
• Solid ability to tailor technical discussions to varied audiences.
• Analytical, strategic, and creative problem-solving skills.
• Exemplary written and verbal communication skills.
• Highly detail-oriented with proficient organizational and time management skills.

About Hexnode

Hexnode is a global leader in Unified Endpoint Management (UEM), trusted by over 100 countries and managing millions of devices worldwide. With a rapid pace of innovation, we have established ourselves as a dominant force across Apple, Windows, Android, macOS, Linux, and tvOS. Fuelling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape.

The role

We are seeking a high-caliber Product Implementation Engineer with a deep understanding of the Cybersecurity landscape. In this role, you will be the technical architect behind our customers' success, ensuring that global organizations can seamlessly deploy and optimize Hexnode’s security solutions. You will act as a strategic consultant, bridging the gap between complex security requirements and technical execution.

Note: This role operates in a global environment and requires the flexibility to work in shifts to support our international clientele.

Responsibilities

• Strategic Solution Design: Partner with sales and technical teams to analyze customer requirements, translating complex business needs into scalable and secure architectures.
• Consultative Implementation: Lead the end-to-end deployment of UEM, MDM, RMM, and Patch Management solutions, customized to align with client-specific security policies.
• Technical Advisory: Act as a trusted technical advisor to IT Directors and stakeholders, providing authoritative guidance throughout the onboarding and implementation lifecycle.
• Cross-Functional Collaboration: Serve as a feedback loop between customers and our Product/Engineering teams to advocate for feature requests and influence the product roadmap.
• Complex Troubleshooting: Proactively diagnose and resolve intricate technical challenges encountered during the deployment phase, ensuring a frictionless experience for the client.
• Deployment Excellence: Guarantee precise configuration and flawless execution of Hexnode’s cybersecurity suite across diverse IT infrastructures.
• Industry Acumen: Maintain an unwavering commitment to staying ahead of cybersecurity trends, emerging threats, and advancements in endpoint management.
• Customer Centricity: Elevate customer satisfaction (CSAT) by ensuring every implementation is timely, efficient, and delivers immediate value.
• This role will collaborate with Presales, Sales and partners to analyse and help with the deployment.

Required Skills & Qualifications

• 5–8 years of proven experience in Technical Implementation, Onboarding, or Solutions Architecture with a focus on UEM, MDM, or RMM.
• Hands-on expertise in deploying and configuring leading solutions such as Microsoft Intune, VMware Workspace ONE, Jamf, or Ivanti.
• Deep understanding of modern security protocols, Zero Trust frameworks, and best practices for remote monitoring and patching.
• Strong technical capabilities in understanding customer environment, Active directory, cloud idps, network solutions, different Operating Systems, Security solutions
• Ability to define and execute implementation plan based on customer use cases.
• Solid foundational knowledge of network security (VPN, Proxy, Firewall), endpoint protection, and cloud-integrated IT environments.
• Experience with RMM and Patch Management platforms like Kaseya, ConnectWise, or NinjaRMM.
• Exceptional ability to manage customer expectations, identify technical blockers, and solve complex problems under pressure.
• Ability to articulate technical concepts clearly to both engineering teams and non-technical business stakeholders.
• BE/B.Tech or MCA in Computer Science, Information Technology, or a related field.

Desired Skills (Good to Have)

• Prior experience with advanced network security methodologies and enterprise endpoint management strategies.
• Familiarity with cloud-native security concepts, architectures (AWS/Azure/GCP), and associated technologies.

About Us (Ensono)

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago.

We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning.

Job Description: Business Intelligence Manager

Position Summary

The Business Intelligence (BI) Manager is responsible for leading the strategy, development, and operational excellence of enterprise analytics, reporting, and AI-enabled insights. This role oversees BI platforms, data visualization, and analytical solutions—including the responsible application of AI and advanced analytics—to enable data-driven decision-making across the organization. The BI Manager partners with business leaders, data engineering, AI governance, and security teams to ensure insights are accurate, explainable, secure, and aligned with business priorities.

Key Responsibilities

Strategy & Leadership

• Define and execute the enterprise BI and analytics strategy, including AI-enabled insights, aligned to business objectives and data governance standards
• Lead, mentor, and develop a team of BI developers, analysts, and analytics engineers
• Establish prioritization frameworks for analytics and AI-driven use cases
• Serve as a trusted advisor to business and executive stakeholders on analytics and AI capabilities

Analytics, AI & Insights Delivery

• Oversee the design, development, and maintenance of dashboards, reports, predictive models, and AI-assisted analytics products
• Enable the use of AI for trend analysis, forecasting, anomaly detection, and insight generation using governed enterprise data
• Ensure consistent semantic models, metrics definitions, and explainable outputs across BI and AI solutions
• Partner with data science and data engineering teams to operationalize AI outputs into BI platforms and business workflows
• Drive adoption of AI-assisted self-service analytics while maintaining data quality, lineage, and control

Platforms & Technology

• Own BI and analytics platforms (e.g., Power BI, Tableau, Looker) and their integration with AI and cloud data platforms
• Support AI-enabled features such as natural language query, automated insights, and embedded copilots where appropriate
• Define standards for dashboard design, AI explainability, usability, accessibility, and performance
• Lead platform optimization, licensing strategy, and cost management across BI and AI tooling

AI Governance, Security & Responsible Use

• Ensure AI use of data complies with enterprise AI governance, security, privacy, and ethical standards
• Partner with security, risk, and compliance teams to enforce access controls, sensitivity labeling, and usage monitoring
• Support model transparency, bias awareness, and auditability for AI-derived insights
• Maintain documentation for AI use cases, assumptions, and limitations

Data Governance & Quality

• Enforce data governance, certification, and lifecycle management for BI and AI assets
• Establish data quality and AI output validation processes
• Maintain business glossaries, metric definitions, and AI-enabled analytics documentation
• Support audit, compliance, and regulatory requirements related to analytics and AI

Stakeholder Engagement & Value Realization

• Translate business questions into analytics and AI use cases with measurable outcomes
• Enable business teams through training on BI tools, AI-assisted analytics, and responsible usage
• Measure and report on analytics and AI value realization, adoption, and business impact

Required Qualifications

• Bachelor’s degree in information systems, Computer Science, Data Analytics, Business, or related field
• 7–10 years of experience in business intelligence, analytics, or data platforms
• 3+ years of experience leading BI or analytics teams
• Strong expertise in BI platforms (Power BI preferred) and enterprise data architectures
• Demonstrated understanding of AI-assisted analytics and advanced analytical techniques
• Proven experience partnering with senior business stakeholders
• Strong understanding of data governance, security, and compliance principles

Preferred Qualifications

• Experience in managed services, consulting, or multi-client environments
• Familiarity with cloud data platforms (e.g., Snowflake, Azure Synapse, BigQuery)
• Exposure to AI platforms, embedded analytics, or analytics copilots
• Knowledge of data cataloging, lineage, and governance tools (e.g., Microsoft Purview or equivalents)
• Experience operationalizing AI insights within enterprise reporting environments

Key Competencies

• Strategic analytics and AI thinking with operational execution
• People leadership and talent development
• Executive communication and stakeholder influence
• Data ethics, governance, and risk awareness
• Continuous improvement and innovation mindset

Success Measures

• Increased adoption of BI and AI-enabled insights across the enterprise
• Consistent, trusted, and explainable KPIs and AI outputs
• Improved time-to-insight and decision quality
• Strong governance, security, and audit outcomes
• Demonstrated business value from analytics and AI initiatives

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

Scopely is looking for a Lead Data Analyst to join our Finance team in Barcelona on a hybrid basis.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Show us the money! As the Finance team, we’re number crunchers with top-notch analytical and reporting skills. As a shared service, we get to work with all of Scopely's talented studios.

What You Will Do 

As a Lead Analytics Engineer, Finance, you will own and improve core finance analytics workflows that support monthly close, revenue reporting, audit support, and accounting analysis. You will partner closely with Accounting, Revenue, Game Analytics, Platform Analytics, and Engineering to build scalable data processes, investigate issues, and translate finance questions into durable data solutions.

• Lead recurring finance analytics workflows that support monthly close, revenue reporting, and accounting analysis.
• Own and review critical digital revenue reporting outputs and investigate issues related to data accuracy, completeness, and timing.
• Build, maintain, and improve SQL logic, validation checks, reporting workflows, and related finance data processes.
• Partner with Revenue Accounting, Game Analytics, and Platform Analytics teams to support item-based revenue recognition analyses, including consumable and durable logic, bundle allocations, paid versus earned currency treatment, virtual currency holding periods, and related user-behavior analyses.
• Monitor and maintain financial data pipelines, troubleshoot exceptions, and drive resolution when data is missing, delayed, or inconsistent.
• Design scalable controls, reconciliations, and documentation so recurring workflows are deterministic, auditable, and easier to hand off.
• Support quarterly and ad hoc finance analyses on purchases, player activity, and revenue trends that inform accounting conclusions and business decisions.
• Partner with Finance stakeholders to translate business questions into repeatable systems and durable reporting solutions instead of one-time analyses.
• Support audit requests by preparing evidence, explaining data logic, and coordinating with auditors and internal partners on finance systems and controls.
• Identify opportunities to automate manual finance processes and improve the scalability of the team’s reporting and operating model.
• Help define best practices for finance data tooling, runbooks, and documentation.

What We’re Looking For 

• Bachelor’s degree in Analytics, Statistics, Finance, Accounting, Economics, Computer Science, or another relevant quantitative field.
• 6+ years of experience in analytics, finance data, business operations, or related roles with ownership of business-critical workflows.
• Advanced SQL skills and proficiency in Python or another programming language used for data analysis, automation, and workflow support.
• Strong Excel / Google Sheets skills.
• Experience with cloud data warehouses and data platforms such as BigQuery, Snowflake, Redshift, AWS, Azure, or GCP-based workflows.
• Experience supporting finance, accounting, revenue reporting, monthly close, or audit-related data work.
• Strong understanding of reconciliation, controls, data quality, and process documentation.
• Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders.
• Strong written and verbal communication skills, especially when explaining technical findings, risks, and tradeoffs to Finance partners.

Bonus Points 

• Experience in gaming, digital products, or revenue accounting.
• Experience building workflow automation, reusable analytical tooling, or documented runbooks.
• Experience supporting audit requests, finance systems controls, or operational process design.
• Experience mentoring analysts or informally leading cross-functional workstreams

Please submit your CV in English.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.

Lucid Motors is seeking a Senior SQA and Test Infrastructure Development Engineer to help build the next generation of test, automation, and validation systems that power our in‑vehicle compute platforms, embedded controllers, and advanced driver‑assistance technologies. You will play a key role in ensuring that Lucid’s software and hardware meet the highest standards of safety, reliability, and performance—supporting everything from firmware development to large‑scale automotive validation.

This role sits at the intersection of DevOps, embedded systems, and automotive test engineering, enabling fast, safe, and scalable development for the world’s most advanced electric vehicles.

What you’ll be doing

• Architect and maintain DevOps pipelines and test automation infrastructure optimized for automotive and embedded development workflows, including cross‑compilation, ECU flashing, and hardware‑in‑the‑loop (HIL) validation
• Build internal tools and services that streamline embedded software testing, firmware deployment, and continuous integration for safety‑critical systems
• Collaborate with Embedded Software, Vehicle Integration, and Test Engineering teams to design scalable test environments for Lucid’s in‑vehicle compute modules and real‑time embedded platforms
• Implement containerized and cloud‑native systems using Docker and Kubernetes to orchestrate distributed test execution across lab and cloud resources
• Integrate automotive‑specific workflows into CI/CD systems, including static analysis, MISRA compliance, traceability, and automated regression testing
• Develop monitoring, logging, and diagnostic tools to ensure high availability and performance of embedded test infrastructure
• Support and extend test frameworks used for ECU validation, vehicle‑level testing, and manufacturing test

What we need to see

• BS/MS in Computer Science, Electrical Engineering, Computer Engineering, or related field
• 5+ years of experience in DevOps, embedded test infrastructure, or automation tooling
• Strong proficiency in Python and experience with frameworks such as Flask or Django
• Experience with embedded Linux, cross‑compilation, and deploying applications to embedded targets
• Familiarity with automotive communication protocols such as CAN bus, or Automotive Ethernet
• Experience with HIL/SIL systems, embedded test benches, or automotive validation environments such as vector Tools
• Proficiency with version control systems such as GIT or GitLab
• Strong Linux knowledge—deployment, debugging, system monitoring, and automation
• Familiarity with bash scripting and Linux‑based automation workflows

Ways to stand out from the crowd

• Background in deploying or maintaining embedded test automation systems, including HIL rigs or ECU validation setups
• Experience with real‑time operating systems (RTOS) or embedded firmware development
• Exposure to manufacturing test environments for automotive ECUs, embedded boards, or in‑vehicle compute modules
• Familiarity with cloud platforms (AWS, Azure, GCP) and infrastructure‑as‑code tools such as Terraform or Ansible
• Passion for building robust CI/CD pipelines and developer‑facing infrastructure for embedded systems

Bonus Qualifications – Agentic AI Tools & Intelligent Automation

Lucid is increasingly leveraging agentic AI systems to accelerate development, automate complex workflows, and enhance test intelligence. Experience with any of the following is a strong plus:

• Building or integrating AI‑driven DevOps agents for automated debugging, test generation, or pipeline optimization
• Experience with LLM‑powered tools for code analysis, anomaly detection, or automated documentation
• Familiarity with AI‑assisted test case generation, including reinforcement‑learning‑based or model‑based testing
• Experience using or developing autonomous agents that interact with CI/CD systems, embedded hardware, or cloud infrastructure
• Knowledge of AI‑driven observability platforms for predictive monitoring, log intelligence, or automated root‑cause analysis
• Understanding of agent orchestration frameworks such as LangChain, LangGraph, or similar tools
• Experience integrating AI agents with automotive workflows such as ECU flashing, HIL orchestration, or embedded diagnostics