About the Position
At 6sense, the Post-Sales Solutions Architect is a critical partner to our Strategic and Enterprise Customer Success Management teams, focused exclusively on supporting existing customers throughout their journey with us. This role blends deep technical acumen with strong customer engagement skills to lead architecture design, optimize platform adoption, and ensure our customers realize the full value of their investment.

You'll work directly with our largest and most complex accounts, helping them integrate and scale their use of 6sense by designing innovative solutions, advising on best practices, and serving as a trusted technical advisor post-sale. This is a high-impact, customer-facing role designed to drive retention, value delivery, and long-term growth.

Key Responsibilities

• Partner with Strategic and Enterprise CSMs to lead post-sale technical activities, including product enablement, demos, proof-of-value workshops, and advanced use case development.
• Facilitate architecture design sessions and platform integration planning, aligning customer objectives to 6sense solutions.
• Document business and technical requirements, and clearly communicate the business value of 6sense capabilities to technical and executive stakeholders.
• Serve as a technical liaison between Customer Success, Product, and Delivery teams to ensure a seamless customer experience.
• Lead solution design for multi-product implementations, systems integrations, and data architecture within existing customer environments.
• Proactively identify technical optimization opportunities to improve customer outcomes and platform ROI.
• Contribute feedback to product management and engineering teams, and help evolve internal tooling and processes for customer delivery.
• Build reports and dashboards that help customers track progress, optimize performance, and make data-driven decisions.

Requirements

• 5+ years of experience in a customer-facing technical role, such as Solutions Architect, Technical Account Manager, or Pre/Post-Sales Engineer.
• Deep technical expertise in solution architecture, data integration, and enterprise software.
• Strong interpersonal and communication skills; able to build trust and articulate complex solutions to both technical and business audiences.
• Experience with CRM systems such as Salesforce, Microsoft Dynamics, or SAP.
• Familiarity with marketing automation tools (Marketo, Eloqua, Pardot, Hubspot) and Customer Data Platforms (Adobe Experience Platform, Segment, etc.).
• Experience with ETL/ELT tools (Informatica, DataStage, Netezza) and data visualization tools (Tableau, Looker, Power BI).
• Working knowledge of cloud infrastructure (AWS, Azure, GCP), REST/SOAP APIs, and integration platforms (MuleSoft, Zapier, Dell Boomi).
• Proficiency in programming/scripting languages such as Python, Java, or C++.

Nice to Haves

• Strong problem-solving skills with a customer-first mindset.
• A track record of influencing customer outcomes through consultative engagement.
• Experience supporting SaaS adoption, expansion, or renewal in large-scale enterprise accounts.
• Ability to prioritize and execute across multiple customer projects while managing stakeholder expectations.

Base Salary Range: $139,035.00 - $180,918.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

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Role

We are looking for a Sr Staff Software Development Engineer to join our ZPA datapath team. This is a hybrid role based in San Jose (3 days in office), reporting to the Director, Engineering. As a core technical expert, you will drive the design, development, and optimization of critical network applications and protocols. You will leverage your deep expertise in C/C++ and Linux to build scalable, high-performance network solutions that secure and streamline enterprise data across cloud environments.

What you’ll do (Role Expectations)

• Develop and optimize network applications and protocols using C/C++
• Design efficient data structures for network data processing and handle system-level programming in Linux environments
• Analyze network performance to identify issues and implement optimization solutions
• Collaborate with teams to define requirements, design architectures, and integrate network solutions
• Conduct code reviews, testing, and debugging to ensure robust and reliable software

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• 8+ years of experience in a distributed and enterprise-scale environment
• Strong knowledge of C programming specifically for network-related data handling and processing
• Expertise in Linux environments, including system-level programming, scripting, and troubleshooting
• Experience with networking protocols and traffic management technologies (e.g. TCP/IP, HTTP/HTTPS, SSL/TLS, QUIC)
• Strong knowledge in one of the cloud platforms like AWS, Azure, or GCP

What Will Make You Stand Out (Preferred Qualifications)

• Experience in L3 protocols, routing, BGP
• Experience in Cloud-based Networking
• Ability to stay current with industry trends and propose enhancements to improve system reliability, scalability, and network efficiency

#LI-YC2 #LI-Hybrid

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

The Space Domain Awareness Network (SDANet) is an anchor program in the Space organization, growing it’s support footprint from a handful to dozens of telescopes and Early Warning Radar systems globally. We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD.

The Space team also supports multiple other programs focused on earth sensing, sensor orchestration, and orbital satellite missions in LEO and GEO.

ABOUT THE JOB 

SDANet and other programs are standing up Lattice stacks on AWS and Azure environments to integrate with mission partners.

In this role, you will be responsible for researching, understanding, and planning the deployment strategy into classified government cloud infrastructure. You will design cloud networking and engineering solutions to meet security, cost, and performance requirements, and deploy Anduril software into government infrastructure, promoting it through various stages. A significant part of your duties will involve identifying and triaging Kubernetes issues in the deployed environment, developing response and mitigation plans, and partnering with government platform management to address these issues effectively. You will be tasked with designing and implementing requirements for observability, alerting, and maintenance to ensure smooth operations.

Additionally, you will deliver and maintain accreditation artifacts and standards for the environments and systems you are responsible for. You will stand up and maintain representative environments at the unclassified level for testing and development purposes, and provide direct in-person expertise during mission-critical periods. Ensuring the deployed system meets security and compliance requirements through regular updates and host OS patching will also be part of your responsibilities. Your role is crucial to maintaining the integrity and performance of the deployed infrastructure.

REQUIRED QUALIFICATIONS

• 8+ years of working experience in DevOps or SRE type roles
• Strongly proficient in utilizing cloud services like AWS, Azure, or Google Cloud Platform
• Experience with IaC (Terraform, Cloudformation, Puppet, Ansible, etc)
• Strong experience with containerization technologies such as Docker and orchestration tools like Kubernetes and Helm
• Deep understanding of networking concepts, TCP/IP protocols, and security best practices
• Programming ability in one or more of the general scripting languages (Python, Go, Bash, Rust, etc)
• Strong problem-solving skills and the ability to work well under pressure
• Excellent communication and collaboration skills to work effectively with cross-functional teams and develop internal roadmaps based on the needs of other teams
• Experience deploying complex and scalable infrastructure solutions
• Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified Solutions Expert, or Google Cloud Certified Professional
• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Extensive expertise in Kubernetes and Helm
• Hold a DoD 8570 IAT Level 1 or 2 certification
• Cisco Certified Network Associate (CCNA)
• Experience with government Cyber certification processes
• Experience installing, sustaining, and troubleshooting data systems for DoD or otherwise sensitive customers
• Familiarity with DoD-managed network enclaves (NIPR, SIPR, etc.)
• Military service background (particularly with Space experience)

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

The Space Domain Awareness Network (SDANet) is an anchor program in the Space organization, growing it’s support footprint from a handful to dozens of telescopes and Early Warning Radar systems globally. We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD.

The Space team also supports multiple other programs focused on earth sensing, sensor orchestration, and orbital satellite missions in LEO and GEO.

ABOUT THE JOB 

SDANet and other programs are standing up Lattice stacks on AWS and Azure environments to integrate with mission partners.

In this role, you will be responsible for researching, understanding, and planning the deployment strategy into classified government cloud infrastructure. You will design cloud networking and engineering solutions to meet security, cost, and performance requirements, and deploy Anduril software into government infrastructure, promoting it through various stages. A significant part of your duties will involve identifying and triaging Kubernetes issues in the deployed environment, developing response and mitigation plans, and partnering with government platform management to address these issues effectively. You will be tasked with designing and implementing requirements for observability, alerting, and maintenance to ensure smooth operations.

Additionally, you will deliver and maintain accreditation artifacts and standards for the environments and systems you are responsible for. You will stand up and maintain representative environments at the unclassified level for testing and development purposes, and provide direct in-person expertise during mission-critical periods. Ensuring the deployed system meets security and compliance requirements through regular updates and host OS patching will also be part of your responsibilities. Your role is crucial to maintaining the integrity and performance of the deployed infrastructure.

REQUIRED QUALIFICATIONS

• 5+ years of working experience in DevOps or SRE type roles
• Strongly proficient in utilizing cloud services like AWS, Azure, or Google Cloud Platform
• Experience with IaC (Terraform, Cloudformation, Puppet, Ansible, etc)
• Strong experience with containerization technologies such as Docker and orchestration tools like Kubernetes and Helm
• Deep understanding of networking concepts, TCP/IP protocols, and security best practices
• Programming ability in one or more of the general scripting languages (Python, Go, Bash, Rust, etc)
• Strong problem-solving skills and the ability to work well under pressure
• Excellent communication and collaboration skills to work effectively with cross-functional teams and develop internal roadmaps based on the needs of other teams
• Experience deploying complex and scalable infrastructure solutions
• Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified Solutions Expert, or Google Cloud Certified Professional
• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Extensive expertise in Kubernetes and Helm
• Hold a DoD 8570 IAT Level 1 or 2 certification
• Cisco Certified Network Associate (CCNA)
• Experience with government Cyber certification processes
• Experience installing, sustaining, and troubleshooting data systems for DoD or otherwise sensitive customers
• Familiarity with DoD-managed network enclaves (NIPR, SIPR, etc.)
• Military service background (particularly with Space experience)

ABOUT THE TEAM
Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

The Space Domain Awareness Network (SDANet) is the anchor program in the Space organization, growing it’s support footprint from a handful to dozens of telescopes and Early Warning Radar systems globally. We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD.

ABOUT THE JOB
For SDANet to meet its mission objectives, a scalable deployment solution must be reached. As a Senior Software Engineer, you will re-imagine the infrastructure pipeline required to convert a nascent rollout process into a hardened test and release pipeline. An end-to-end solution involves developing a through line from pure software testing, to hardware, that is pushed from unclassified to classified spaces and rolled out to a fleet of Kubernetes nodes.

You will be expected to wear the hat of a product manager, speaking to software developers, to discern bottlenecks in the development process to accelerate their velocity. You will develop modular CI/CD and developer capabilities to support newly formed programs in the Space organization.

WHAT YOU’LL DO

• Strongly proficient in utilizing cloud services like AWS, Azure, or Google Cloud Platform.
• Configuring of Linux-based systems.
• Understanding of networking fundamentals.
• Strong communication skills and ability to collaborate across cross-functional teams.
• Have an intuition for finding solutions to complex problems that involve multiple first and third party technologies (related to simulation, data management, compute infrastructure, and networking).
• Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics.
• Eligible to obtain and maintain an active U.S. security clearance.

REQUIRED QUALIFICATIONS

• Strongly proficient in utilizing cloud services like AWS, Azure, or Google Cloud Platform.
• Configuring of Linux-based systems.
• Understanding of networking fundamentals.
• Strong communication skills and ability to collaborate across cross-functional teams.
• Have an intuition for finding solutions to complex problems that involve multiple first and third party technologies (related to simulation, data management, compute infrastructure, and networking)
• Strong engineering background from industry or school, ideally in areas/fields such as Robotics, Computer Science, Software Engineering, Mechatronics, Electrical Engineering, Mathematics, or Physics
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience with deploying AWS environments, using EC2, VPC, S3, ECS/EKS, CloudWatch, AWS Config, IAM, Load Balancers and Cost Management.
• Proficiency in one or more of the following: Go, Rust, C++, Python.
• Experience with hardware integration testing.
• Track record of working with customers to deliver novel software capabilities.
• Experience or knowledge in network topology design, IT network engineering, and embedded device security.
• Experience with Nix, NixOS, nixpkgs.

ABOUT THE TEAM

We build robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense (AD) Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.

ABOUT THE JOB

We are seeking a Senior Mission Data Platform Engineer to design, build, and operate the foundational data infrastructure that empowers our analytics and engineering teams. In this role, you will be the architect of a scalable, reliable, and easy-to-use platform that enables analytics engineers, data scientists, and software engineers to build high-impact analyses and data-driven applications.

You will combine deep expertise in cloud infrastructure, DevOps, and modern data systems to create a cohesive ecosystem. Applying Site Reliability Engineering (SRE) principles will be key to ensuring the performance and availability of these critical systems, which operate in both commercial cloud and classified environments. You will collaborate closely with platform users to understand their needs and remove friction, ensuring our data capabilities are a force multiplier for the entire organization. Your ability to deploy and maintain these mission-critical solutions will be essential, with occasional travel required for real-world implementation and support.

Key Responsibilities:

• Lead the design, development, and maintenance of a scalable, self-service data platform that serves as the foundation for analytics and data applications across the organization.
• Architect and manage the underlying cloud infrastructure using Infrastructure-as-Code (Terraform), containerization (Docker, Kubernetes), and CI/CD best practices to support the data platform.
• Partner with and empower platform users—including analytics engineers, data scientists, and software engineers—by providing robust tooling, clear documentation, and a seamless developer experience.
• Implement SRE principles to ensure the data platform is highly available, performant, and observable, establishing SLOs, automating operational tasks, and leading incident response for the platform.
• Evolve the platform's architecture by evaluating and integrating new technologies from the modern data stack to meet the ever-changing needs of the business.

REQUIRED QUALIFICATIONS

• 6+ years of experience in a combination of data platform engineering, cloud infrastructure, DevOps, or SRE roles.
• Active U.S. Department of Defense (DOD) Secret Clearance or higher and experience operating in air-gapped, classified, and/or other highly constrained network environments.
• Hands-on experience building and maintaining platforms with key components of the modern data stack, such as data lakehouse technologies (e.g., Apache Iceberg), query engines (e.g., Trino/Presto, AWS Athena), transformation tools (e.g., dbt), and real-time stream & batch processing platforms (e.g., Apache Kafka, Apache Spark).
• Extensive experience with Infrastructure-as-Code (IaC), particularly Terraform, for managing complex cloud environments (e.g., AWS, Azure, GCP).
• Strong proficiency in DevOps and software deployment practices, including containerization and orchestration (e.g., Docker, Kubernetes, Helm), GitOps & CI/CD tooling (e.g., ArgoCD, CircleCI), and observability/monitoring/APM platforms (e.g., Datadog, Grafana).
• Exceptional problem-solving and critical-thinking skills, with the ability to architect robust technical solutions for ambiguous and dynamic platform requirements.
• Excellent written and verbal communication skills, especially when communicating with a technical audience; an affection for documentation and a user-centric mindset.
• Procedural fluency in writing, debugging, profiling, testing, and maintaining performant Python and SQL code.
• Experience with data pipeline orchestration tooling (e.g., Flyte, Airflow, Dagster).
• Experience writing code in another language (e.g., Go, Java, Scala, JavaScript/TypeScript).

PREFERRED QUALIFICATIONS

• Ability to comprehend and appropriately modify software written in a systems or lower-level language such as C/C++, Rust, Zig, etc.
• Experience with setting up and managing infrastructure to support analytical workloads on-premises or in resource-constrained environments.
• Experience working with specialized data formats (e.g., MCAP, HDF5) common in domains like robotics.
• Experience with the Nix (dependency management & system configuration) ecosystem.
• Strong Linux fundamentals and troubleshooting skills.
• Prior defense, aerospace, or intelligence domain experience.
• Deep intellectual interest in the intersection of infrastructure, analytics, and the physical hardware world, motivated by our mission.
• Exposure to the technical, programmatic, and operational challenges of developing and deploying advanced systems across various command echelons.

MongoDB is building a world-class team in North America to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model.  The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization.

We are looking for an experienced Staff Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

We are looking to speak with candidates based in California, Oregon, or Washington for our hybrid or remote working models.

The ideal candidate for this role will have

• 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
• Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Empower the engineering team with unparalleled thought leadership on emerging technologies and best practices
• Proactively engage with product leaders and senior management to align technical solutions with overarching business strategies
• Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design
• Participate in code reviews, design discussions, and contribute to the overall technical direction and roadmap of the team
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Position Expectations

• Architectural Leadership: Drive the architectural vision and technical strategy for the data migration engine and its surrounding ecosystem. Contribute core, foundational code that solves the hardest scalability problems and sets the standard for the rest of the team
• Strategic Partnership: Partner closely with Engineering Leadership, Product Management, and Design to shape the technical roadmap. Anticipate future business needs and translate them into scalable, long-term technical initiatives
• Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Actively mentor Senior and Mid-level engineers, cultivating a culture of technical excellence and continuous learning

Success Measures

Within the first three months, you will have

• Familiarized yourself with the MongoDB database and aggregation language
• Familiarized yourself with the problem space and the domain
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have

• Worked on and delivered a large-scale code analysis feature in the product
• Contributed to and helped deliver a few releases of the product
• Reviewed and contributed to scope and technical design documents

Within twelve months, you will have

• Delivered large-scale features across our entire tech stack
• Helped recruit, interview and mentor new members of the team
• Collaborated with other teams 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, 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: 4263333172

ABOUT THE TEAM

The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data-driven.

ABOUT THE JOB

This role is central to our People Data & Analytics team, where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. You'll own the full data lifecycle, from ensuring accurate ingestion and integration of diverse HR data sources, to designing, developing, and optimizing data models and pipelines. Your primary objective will be to transform raw, disparate information into clean, reliable, and analytics-ready datasets, empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce, enhance employee experience, and drive data-driven decision-making. Success in this role requires a strong technical foundation, meticulous attention to data quality, and a passion for crafting efficient data solutions.

WHAT YOU'LL DO

• Design, build, and optimize robust ETL/ELT pipelines to reliably ingest, integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
• Develop, maintain, and govern scalable and secure data models, schemas, and ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
• Contribute to the strategic design, development, and evolution of our people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
• Partner closely with People Analysts, HR Business Partners, and other stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
• Implement and monitor data quality checks, identify discrepancies, troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
• Continuously monitor the performance of data pipelines and models, identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
• Create and maintain comprehensive documentation for data pipelines, models, and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
• Implement and enforce strict data security measures and ensure all data handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
• Collaborate with broader enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.

REQUIRED QUALIFICATIONS

• 5-7 years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
• Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
• Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
• Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
• Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
• Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• Strong technical foundation in data engineering, with expertise in SQL, Python, and experience working with cloud-based data platforms (e.g., AWS, GCP, Azure).

Preferred Qualifications:

• Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
• Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
• Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
• Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
• Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.
• Deep expertise working with data from specific enterprise HRIS systems like Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
• Solid understanding of HR data concepts, metrics, and common HR systems (HRIS, ATS, LMS), with a strong interest in People Analytics.

ABOUT THE TEAM

Anduril's Application and Security Engineering team is looking for a Staff Security Engineer to focus on Identity and Access Management and build and maintain world class defensive controls to protect the systems we use to build our advanced defense technology products.

WHAT YOU'LL DO

• Build an identity engine that powers the whole company and supercharges our security program
• Create applications that enable and enforce our identity framework across the company
• Develop integrations that unify identities across IdPs, cloud providers, SaaS tools, and internal systems
• Automate identity lifecycle operations: provisioning, access reviews, offboarding
• Collaborate with other IAM engineers and partner teams to define architecture and ship iteratively

REQUIRED QUALIFICATIONS

• Strong programming ability in one or more general purpose languages (Go, Rust, etc)
• Experience with one or more infrastructure as code languages (e.g., Terraform, AWS CDK) in a production capacity
• Experience with identity protocols (SAML, OIDC, SCIM, OAuth) or identity providers (Okta, Azure AD, etc.)
• Proven ability to translate system design requirements into clean, maintainable implementations
• Experience leading or contributing to architecture and design reviews
• Experience working with cloud platforms and deploying applications through CI/CD pipelines
• Ability to work autonomously, take ownership of projects, and collaborate across teams
• Eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Have worked in environments with complex identity or access issues, troubleshooting across distributed systems
• Familiarity with RBAC, ABAC, or policy-as-code frameworks (e.g., OPA, Cedar)
• Experience building bespoke solutions in high-growth and high-complexity environments
• Experience with AWS, Azure, or GCP ecosystems and tooling

Secure Every Identity, from AI to Human

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

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

Okta is looking for an experienced Director of Partner Programs to strategically architect,  implement, and manage a global partner program driving the company’s success while supporting multiple partner types. This person should have extensive experience leading program strategy, building and managing teams in a high growth SaaS environment.  This individual will use a data driven approach while incorporating partner feedback and internal feedback to continuously optimize the Okta Partner.  

Job Responsibilities & Duties:

• Design, implement, and manage a robust and competitive Partner Program structure that effectively supports and incentivizes multiple partner types (e.g., Distributors, GSIs, Resellers, Service Delivery Partners, System Integrators and Technology Partners) and supports Cloud Marketplaces.
• Lead the design and execution of partner programs across AMER, EMEA, and APJ regions.
• Serve as the strategic leader and primary point of contact for the global Partner team, driving initiatives for the continued evolution and success of the Okta Partner Program.
• Develop and drive the long-term partner program strategy, requirements, and policy across the entire partner lifecycle, from recruitment to performance management.
• Direct and mentor the Partner Program team, focusing on organizational design to support growth, scale, and effective prioritization aligned with long-term program goals.
• Define and govern the framework for partner tiering, benefits, incentives, and requirements to ensure program value and growth.
• Collaborate with Partner Experience and Ops team to integrate AI and automation to create a self-service environment for partners, reducing time-to-value (Operational Excellence).
• Lead cross-functional engagements with internal stakeholders (Sales, Marketing, Legal, Finance, Product, Operations, and Systems ) to resolve complex business issues, define long-term program strategy, identify optimization opportunities and set policy for partner engagement. This role will serve as the central link between the partner organization and these teams, and requires the ability to effectively influence and build consensus with cross-functional leadership.
• Provide clear, concise, and compelling communication to executive leadership on program strategy, performance, and risks, ensuring transparency and timely decision-making.
• Monitor and report on global Partner Program performance, ensuring accountability for annual performance reviews and program effectiveness. This includes building global dashboards to act as a "Single Source of Truth" for partner performance (Data Leadership).
• Oversee and provide requirements for the successful integration of program features into partner tools (PRM, CMS, etc.) in collaboration with Partner Operations.

Required Skills & Qualifications:

• Minimum 10+ years of progressive work experience in a high-growth SaaS company (Cybersecurity preferred), with at least 3 years in a leadership role focused on Partner Program Strategy and Management across multiple geographies.
• A proven track record of scaling partner programs during massive growth phases.
• Strong experience in designing, launching, and managing successful global partner programs that support diverse partner ecosystems (e.g., Distributors, GSIs, Resellers, MSPs, Service Delivery Partners, System Integrators, and Technology Partners.
• Proven expertise in leveraging major Cloud Marketplaces (e.g., AWS, Azure, GCP) as a scalable route-to-market and growth engine.
• Highly organized, detailed oriented and capable of managing and prioritizing multiple complex, simultaneous projects.
• Expertise in partner legal frameworks and executing adoption-focused strategies within the partner ecosystem.
• Outstanding verbal and written communication skills with proven project management proficiency. 
• Highly motivated self-starter and excellent problem solver via collaboration.
• Demonstrated experience working cross-functionally across organizations.
• Exceptional integrity, business acumen and sound judgement.
• Highly collaborative and committed to incorporating diverse perspectives and feedback into strategy and execution.
• Comfortable with travel up to 10%.
• BA/BS degree required; MBA or relevant Masters degree strongly preferred.

About the Role

We're hiring an AI Engineer to work on the AI core of Mill Commercial — the computer vision and agentic systems that turn a stream of food waste into operational intelligence for commercial kitchens. Mill Commercial integrates a camera and onboard compute directly into our high-capacity food recycler; models running on the edge identify, classify, and quantify food scraps at the point of generation, and our vision pipeline turns that signal into procurement and operational guidance for large food service operators.

You'll join a small AI team, building the data and training pipeline that produces our edge CV models, designing the cloud-side evaluation that tells us whether those models are good enough to ship, and helping build the agentic, LLM-driven product features that turn raw waste data into customer-facing insights and recommendations. This is a hands-on senior IC role for someone who's equally comfortable fine-tuning a segmentation model, prompting a VLM, and wiring an agent into a product feature.

What You'll Do

• Build and manage the end-to-end ML training pipeline: data ingestion from deployed kitchen units, ground truth generation, annotation tooling (including foundation-model-assisted labeling), training, evaluation, and retraining cycles.
• Train and evaluate segmentation, classification, and mass-estimation models for the Mill Commercial camera pipeline — from prompting foundation models to fine-tuning ConvNets and VLMs.
• Build the cloud-side evaluation harness that tells us how our shipped edge models are actually performing in the field — automated, reproducible, and aligned to product accuracy targets across food types, kitchen environments, and deployment configurations.
• Own MLOps: reproducible training, experiment tracking, model versioning, and automated evaluation against product-defined accuracy targets.
• Export and validate models for deployment to edge devices, working closely with the edge team on optimization, quantization, and integration.
• Help design and build the LLM- and agent-powered product features that consume waste characterization data and turn it into customer-facing recommendations — purchasing suggestions, anomaly explanations, operational nudges. Define how agents call tools, ground in customer data, and stay reliable in production.
• Analyze failure cases systematically — unfamiliar food classes, novel kitchen environments, challenging lighting and clutter conditions — and drive the data and modeling decisions that close accuracy gaps.

What We're Looking For

• Strong fundamentals in computer vision and deep learning — segmentation, detection, classification, tracking. You understand the architectures well enough to make informed choices.
• Fluency with modern ML approaches — VLMs, LLMs, foundation models, and agentic systems — alongside classical deep learning. You know when to fine-tune a ConvNet, when to prompt a VLM, and when to wire up an agent, and you understand the practical realities of putting any of them into a product.
• Experience building ML training pipelines and data annotation systems at scale.
• Experience evaluating ML models rigorously — designing metrics, building the eval harness, and using results to drive product decisions rather than just publish a number.
• Proficiency with cloud ML infrastructure (AWS or equivalent) — you've managed training jobs, data pipelines, and experiment workflows in production.
• Familiarity with cloud-to-edge model deployment.
• Clear, direct communication — you can explain tradeoffs to non-technical stakeholders, push back honestly when you disagree, and write docs that others can follow.
• Genuine interest in applying AI to food waste reduction and sustainability. This is a mission-driven product and we want people who care about the mission.

Software skills: Python, PyTorch, OpenCV. Strong familiarity with MLOps on AWS infrastructure. Experience with LLM and agent frameworks. Google Cloud / Gemini experience is a plus.

Nice to Have

• Experience with video understanding (temporal consistency, tracking, video segmentation)
• Experience with foundation models for data annotation
• Experience with MLOps tooling (Weights & Biases, MLflow, SageMaker, or equivalents)
• Experience shipping LLM- or agent-powered features in a consumer or B2B product
• Hardware / IoT product experience, particularly with computer vision and cameras for embedded systems

The estimated base salary range for this position is $240 to $280k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. At Mill, it is not typical for an individual to be hired at or near the top of the range for their role.

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

Tech Lead – Data Scientist

About the Role

We are looking for a Technical Lead to drive the development of Obsidian's core ontology that powers our groundbreaking unified security config analysis, AI security, and threat detection product.

• Scale this ontology as part of a team of 3-6 software engineers and data scientists to cover hundreds or thousands more enterprise application platforms. Drive automation of repeatable R&D subtasks.
• Become an expert on foundational identity, authentication, authorization, network, and data security concepts. An unhealthy dose of curiosity about the design and administration — technology, people, and process — of complex application platforms such as GitHub, Salesforce, and Workday is a must. You will love exploring rabbit holes into esoteric domain knowledge related to these topics.
• Formulate security problems as data and ML problems, constantly addressing and refining the customer outcome in collaboration with top-flight security teams from Global 1000 companies.

What We’re Looking For

• 6+ years of experience in data science, machine learning, or applied research, preferably with 2+ years in a technical leadership role.
• A track record of shipping production ML or data systems at scale — ideally systems involving ontologies, knowledge graphs, entity resolution, or semantics over heterogeneous data sources.
• Expert-level proficiency in Python and modern ML/data tooling.
• Working knowledge of core security domains, or a strong ability to learn.
• Experience formulating fuzzy business or security problems as concrete ML/data problems:
• able to decompose ambiguous, ambitious problems into well-scoped subproblems and design experiments with statistical rigor.
• comfortable being scrappy and diving deep into vendor documentation, APIs, and audit logs to find the necessary data sources

• Excellent written and verbal communication skills; ability to engage credibly with technical security practitioners at large enterprises.

About the Role

We are looking for an extraordinary software engineer to join our worldwide business development and strategy team. This is an opportunity to join a fast-paced team that plays a key role in the overall success of our organization through technology enablement. You’ll play a critical part in driving our technology vision forward and ensuring that we execute across multiple initiatives.

Key Qualifications

• At least 7 years of experience, preferably working as part of a team
• Deep knowledge of React, Typescript and Javascript (Node)
• Experience with deploying containerized services to cloud computing platforms like AWS or Google Cloud
• Familiarity with relational database systems like PostgreSQL or MySQL
• Proven track record of designing, building, delivering, and maintaining critical web-based software
• You love working in a fast-paced and dynamic environment
• Extremely organized, detail-oriented, and thorough in every undertaking
• Excellent verbal and written communication skills

Description

This is a senior full-stack software engineering role. You’ll work closely day-to-day with other engineers, designer, and PM to plan, design, build, and ship high quality software.

Your responsibilities will include:

• Designing and implementing reliable web applications and APIs independently
• Writing high quality and testable code with quality test coverage and reviewing the work of your peers
• Participating in architecture and technical decisions with strong critical thinking
• Using software engineering pipeline tools (CI/CD, unit testing, manual testing, etc.)
• Researching and developing new technologies and developing proofs of concept

Education & Experience

• BS/MS CS/CE or equivalent experience

What We Offer

.Monks has provided a compensation range that represents its good faith estimate of what Media.Monks may pay for the position at the time of posting .Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.

Salary range

$125,925.00 — $ 131,738 USD

#LI-AO1

#LI-Onsite 

About the Role

We are looking for an extraordinary software engineer to join our worldwide business development and strategy team. This is an opportunity to join a fast-paced team that plays a key role in the overall success of our organization through technology enablement. You’ll play a critical part in driving our technology vision forward and ensuring that we execute across multiple initiatives.

Key Qualifications

• At least 7 years of experience, preferably working as part of a team
• Deep knowledge of React, Typescript and Javascript (Node)
• Experience with deploying containerized services to cloud computing platforms like AWS or Google Cloud
• Familiarity with relational database systems like PostgreSQL or MySQL
• Proven track record of designing, building, delivering, and maintaining critical web-based software
• You love working in a fast-paced and dynamic environment
• Extremely organized, detail-oriented, and thorough in every undertaking
• Excellent verbal and written communication skills

Description

This is a senior full-stack software engineering role. You’ll work closely day-to-day with other engineers, designer, and PM to plan, design, build, and ship high quality software.

Your responsibilities will include:

• Designing and implementing reliable web applications and APIs independently
• Writing high quality and testable code with quality test coverage and reviewing the work of your peers
• Participating in architecture and technical decisions with strong critical thinking
• Using software engineering pipeline tools (CI/CD, unit testing, manual testing, etc.)
• Researching and developing new technologies and developing proofs of concept

Education & Experience

• BS/MS CS/CE or equivalent experience

What We Offer

.Monks has provided a compensation range that represents its good faith estimate of what Media.Monks may pay for the position at the time of posting .Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status.

Salary range

$125,925.00 — $ 131,738 USD

#LI-AO1

#LI-Onsite 

Role

We are looking for a Staff Software Development Engineer - DevSecOps to join our team in a hybrid capacity in San Jose, CA, reporting to the Director, Software Development Engineering. Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. You will support internal product teams in managing CI/CD pipelines, strengthening security practices, and maintaining shared engineering systems to enable organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Build and manage CI/CD systems to deploy critical applications across hybrid cloud environments including AWS, GCP, and proprietary clouds

• Support internal product teams with CI/CD pipelines, automations, and tools like GitLab, GitHub, Jenkins, ArgoCD, and security scanning solutions

• Secure code, applications, and infrastructure using security scanning tools such as SonarQube, Snyk, Coverity, and CheckMarx

• Administer and optimize critical DevSecOps applications while monitoring build metrics with tools like Grafana, Prometheus, and CloudWatch

• Communicate progress to stakeholders through Jira, technical documentation, and clear status updates

Who You Are (Success Profile)

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

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

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

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

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

What We’re Looking for (Minimum Qualifications)

• 5+ years of professional experience including hands-on experience managing cloud environments such as AWS, GCP, or private clouds

• Proficiency in application development or automation using OOP languages like C/C++, Java, Python, or Go, plus exposure to container orchestration and automation tools

• Familiarity with application security testing methodologies and experience using tools like SonarQube, Snyk, Coverity, or CheckMarx

• Experience designing and managing GitOps-based pipelines using GitLab, GitHub, and CI/CD automation tools like Jenkins or GitHub Actions

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience

What Will Make You Stand Out (Preferred Qualifications)

• Experience with AI and ML tools in day to day DevSecOps activities

• Experience writing and developing yaml based CI/CD Pipelines and knowledge of build tools like makefiles, gradle, npm, or maven

• Experience with Networking, Load Balancers, Firewalls, and Web Security

#LI-Hybrid #LI-KM9

We are looking for a Staff Escalation Engineer to join our Shared Platform Services team. This is a hybrid role based out of either our San Jose, CA office (3 days a week), reporting to the Sr. Manager, Software Engineering QA. You will be instrumental in taking the Zscaler Client Connector Cloud service to the next level in terms of reliability, availability, and scalability. As part of the team that built the world’s largest cloud security platform, you will bring your vision and passion to enable organizations worldwide to harness speed and agility with a cloud-first strategy.

What you’ll do (Role Expectations)

• Own and resolve escalated cloud incidents end-to-end, including impact analysis, debugging, implementing solutions, and communicating with stakeholders

• Collaborate with development, security, and operations to design and implement code/configuration fixes for complex system issues

• Monitor system health, performance, and security via PagerDuty and enhance alerting to meet SLOs

• Build diagnostic tools, dashboards, and documentation to enable faster, more effective incident resolution across the team

• Lead production service ownership and supportability by deploying critical fixes, making key deployment decisions, and responding to high-pressure off-hours events

Who You Are (Success Profile)

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

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

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

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

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

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience along with expert troubleshooting, debugging, and root-cause analysis for complex, high-priority incidents, with experience using CPU/memory profilers to diagnose resource exhaustion

• Strong hands-on skills in Python, Bash, and Java; cloud platforms (GCP, AWS, Azure); and IaC/configuration tools (Terraform, Ansible)

• Ability to write complex MySQL queries and generate business reports

• Experience with authentication protocols such as SAML and OAuth

• Solid networking fundamentals (TCP/IP, UDP, ICMP) and debugging with Postman and packet captures, along with proficiency in monitoring tools like Grafana

What Will Make You Stand Out (Preferred Qualifications)

• Experience developing applications with Java, REST APIs, MySQL, and jQuery

• Bachelor’s degree in Computer Science or Computer Engineering (or related field); MS in CS/CE preferred

#LI-JM1 #LI-Hybrid

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

• Remote - San Francisco
• Remote - Texas 
• Remote - NYC
• Remote - Boston 
• Remote - Chicago 
• Remote - Seattle 
• Remote - Atlanta 

We are looking for a Sales Director to join our growing business. You will lead an existing team of Enterprise Account Executives and you will be measured by achieving your team’s overall quota, new logo acquisition, and growing Databricks usage. This is a team of account executives that are passionate about building a data ecosystem, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Regional Vice President.

The impact you will have:

• Lead, grow and inspire the Enterprise Account Executives to help them overachieve on their goals and objectives.
• Instill a culture of teamwork focused on leading with measurable business value and achieving desired customer outcomes.
• Develop trust-based relationships with customers and partners to ensure long-term success.
• Drive ongoing learning of the continuous innovation being delivered to our customers via our data intelligence and GenAI solutions.
• Actively participate in the region’s growth plans, ensure forecast accuracy and build a customer-focused, durable, high-growth business.

What we look for:

• You live the Databricks’ core values and instill them in the team you are leading.
• You will have 5+ years of successfully building and leading high-growth new logo sales teams serving enterprise customers within the Big Data, Cloud (Azure, AWS, GCP), Analytics, AI spaces.
• History of exceeding quota and thriving in hyper-growth Enterprise technology companies.
• Understanding of value selling and sales methodologies such as MEDDPICC, Challenger, Command of Message.
• Knowledge of developing partner ecosystems to help grow strategic enterprise territories and ensure customer success.
• With this role, a proven track record of leading teams to success when focused on enterprise territories and driving consumption is critical. 

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A core difficulty in legacy code transformation is guaranteeing the equivalence of the new application's business logic, ensuring it operates smoothly and efficiently with the new MongoDB data ecosystems in a reliable and scalable manner. The success of this mission heavily relies on the essential tools developed by the CodeGen team.

We are looking for an experienced Senior Lead Software Engineer with a strong background in database ecosystem, reshaping complex large-scale services and team leadership. You will lead a talented team building a complex product suite using GenAI capabilities. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging application transformation problems.

This role will be based in North America west coast, and offers a hybrid working model. 

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
• Extensive product experience in building enterprise-grade analytics systems for data streaming or data tooling
• Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
• Having experience in using GenAI in building complex large-scale systems, and knowing what GenAI is best suited to do, is a plus
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Drive the architectural vision and long-term technical roadmap for the Code Gen product suite, ensuring it is scalable, reliable, and performant
• Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs
• Lead the design and implementation of complex, mission-critical components of AMP’s code transformation toolset
• Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence
• Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and team processes
• Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap
• Begin mentoring team members and building strong collaborative relationships with your product counterparts

Within six months, you will have:

• Successfully led the team to deliver a major feature or product release
• Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams
• Established a clear rhythm of execution and a high-performing culture within your team

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the code transformation domain at MongoDB
• Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business
• Played a crucial role in recruiting, hiring, and growing the engineering team

About MongoDB

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

With offices worldwide and 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: 1273362479

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

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, 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: 425547

We are looking for an AI Developer Advocate to join our Developer Relations team. In this role, you will help promote MongoDB's artificial intelligence (AI) capabilities. As more developers choose MongoDB as their data platform, your responsibilities will include directly engaging with the community, building strategic partnerships with AI companies, creating inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.

You will empower developers—from startups to Fortune 500 companies—to integrate advanced data and AI capabilities into their applications and solutions. If you are passionate about helping builders explore the possibilities of AI and enjoy cultivating a vibrant developer ecosystem, we invite you to join us in shaping the future of development on MongoDB.

Our Developer Relations teams are distributed across the globe, with most members working remotely. This position will be based in the San Francisco Bay Area. To see what our team is doing, check out our content on YouTube, Dev, and Medium.

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

Candidate Profile

We are excited to welcome an influential individual to our team who is already a well-established voice in AI. From your experience over the past few years, we’ll see you in videos and at events sharing technical insights, leading discussions, and inspiring others to effectively use AI and ML capabilities. You’ve also created articles, tutorials, and hands-on workshops to teach builders best practices and equip them to leverage AI in their apps. 

At the foundation of your passion and expertise is a love to equip others. Our ideal candidate will have at least 3 years of experience in a builder role, such as a data scientist or developer, where they crafted AI solutions in production. They will have 8+ total years of experience through any combination of builder role (such as data scientist or developer), educator role (such as developer advocate or developer educator), or customer-facing role (such as solution architect). 

Our ideal candidate will also have connections with AI companies and communities in the San Francisco Bay Area. You will work with key AI partners to create content and partner on virtual and in-person events that showcase how MongoDB is part of the larger AI ecosystem. 

You are an effective teacher who can explain complex topics in a simple and easy-to-understand way. Along with an appreciation for the key AI-related features of our platform, such as vector search and Voyage AI, you will also develop a strong understanding of MongoDB's core capabilities, data modeling, and emerging trends in our industry.

Though the expertise you bring will be unique, our team is built to work together to share knowledge and help each other grow. You will work with others at all levels, supporting peer reviews of code, demos, sessions, and other content. You should have a genuine passion for equipping other developers to be more productive and successful. 

Position Expectations

Below are examples of the types of work you will be doing. Your mix of activities will vary week to week based on priorities and event schedules. 

• Build on a solid foundation of ML/AI expertise, adding to your database experience to become a MongoDB expert
• Expand your knowledge of embedding models and rerankers to become an expert in Voyage AI
• Collaborate with our events and field teams to engage developers and founders in the Bay Area at meetups, events, hackathons, and startup houses
• Speak at strategic AI events and lead workshops at high-profile conferences such as AWS re:Invent 
• Create and update tutorials, articles, videos, and workshops along with their associated workflows or workflows or code examples
• Provide feedback to our Product and Technology team, serving as the voice of the developer as new products are scoped and planned
• Regularly interface with Partner Managers to identify opportunities to work with key AI partners to create content and partner on virtual and in-person events that showcase how MongoDB is part of the larger AI ecosystem 
• Partner with our community team to support engagement with third-party and first-party user groups (MUGs), Champions, and influencer programs across the region
• Lead one-hour sessions (both virtual and in-person) with customer teams to evaluate their AI use cases and provide recommendations on how they can better utilize MongoDB

Requirements

• Expertise in building AI or ML solutions and comfortable building agentic solutions
• Advanced familiarity with several AI coding and workflow tools, and how platforms are recommended through content, preference, and integration
• Expertise with one or more complementary programming languages (Python or JavaScript preferred)
• Knowledgeable and connected in the Bay Area AI ecosystem
• Prolific author of content (tutorials, how-to guides, readmes) and associated code to help developers learn
• Established portfolio or active contributor to AI examples and Agent Skills in GitHub
• Engaging presenter at in-person events, videos, webinars, or live streams 
• Up to 25% of time traveling to Bay Area engagements (like meetups, events, hackathons, and startup houses)
• Up to 10% of time traveling outside of the Bay Area for industry events 

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, 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: 1273376493

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB.

We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges.

We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI.

The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle.

This role will be based in North America's West Coast (PST), and offers a hybrid working model.

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• Deep experience in building data warehouses and core components for data processing systems
• Have experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

Key Responsibilities

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages
• Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem
• Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments
• Established yourself as the technical leader within the team, actively driving engineering strategy and key technical decisions
• Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on designing/improving the orchestration framework and the workflow components it manages
• Developed a comprehensive grasp of all AMP pillars and their roadmap

Within six months, you will have:

• Influenced AMP product and engineering leads on key technical decisions, and set clear direction for the team
• Successfully led the team to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to smoothly land the planned roadmap
• Owned and delivered some key pieces of AMP orchestration framework and the workflow components it manages
• Served as a role model and strategic leader for the AMP org
• Contributed to establish engineering excellence standards for the team, and began mentoring and providing technical guidance to team members

Within 12 months, you will have:

• Become recognized as the strategic engineering leader both within and outside of the AMP organization
• Helped senior leadership (e.g., Directors/VP) on defining the technical strategy and roadmap for the future
• Enabled the team to deliver a stable, production-ready platform that supports autonomous application modernization workflow for our Field Engineering teams
• Drove the adoption of engineering excellence, making it a core tenet of the team's culture and operations
• Contributed to the development of tech leads within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving high-performing engineering team

About MongoDB

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

With offices worldwide and 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: 1273362664

MongoDB Technical Services Engineers use their exceptional problem solving and customer service skills, along with their deep technical experience, to advise customers and to solve their complex MongoDB problems. Technical Service Engineers are experts in the entire MongoDB ecosystem - database server, drivers, cloud and infrastructure. This also includes services such as Atlas (database as a service), or Cloud Manager (which helps customers with automation, backup and monitoring of their MongoDB systems). Our engineers combine their MongoDB expertise with passion, initiative, teamwork and a great sense of humor to achieve exceptional results for our customers.

The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Citizen on US Soil. In order for us to triage and assign cases, it is necessary to be able to identify available resources at any given time. For this reason the FedRamp team is composed of three separate shifts: first shift, second shift, and third shift. This posting is for Third Shift, in which your working hours would be 8pm-5am PST. There is a desired commitment to this shift though applicants must have the flexibility to work a more typical schedule (12pm-9pm PST) during their ramping period (between 6 to 9 months) before transitioning to Third shift.

Weekend Shift: We are looking to speak to candidates who are interested in working out of our West Coast offices under our flexible or remote working models, Monday to Friday for the first 6-9 months depending on ramping speed. Once considered ramped, they will transition to a permanent Wednesday to Sunday work week to provide weekend coverage alongside other peers. Saturdays and Sundays are considered fully online workdays and not an on-call shift. Due to the 24/7 nature of our support organization, certain events throughout the year will require volunteering for coverage outside one's normal work days or work hours (i.e. regional offsites, regional holidays, etc). These are typically announced weeks in advance with a sign-up system that considers equitability.

Cool things you’ll do

MongoDB is on a mission to change the way people think about databases. Along the way, our customers encounter questions and issues about how our approach to databases works for their use case. In Technical Services, it's our job to help these people.

You'll be working alongside our largest customers, solving their complex issues - resolving questions on architecture, performance, recovery, security, and everything in between. You'll be an expert resource on standard methodologies in running MongoDB at scale, whatever that scale may be. You'll be an advocate for customers' needs - working with our product management and development teams on their behalf. And you'll contribute to internal projects, including software development of support tools for performance, benchmarking, and diagnostics. In addition, you will also be responsible for mentoring and ramping new team members and taking initiatives in building knowledge of new product lines within the MongoDB ecosystem.

What you need

We consider all candidates with an eye for those who are self taught, insatiably curious, and multi-faceted.

It’s important for candidates to check off these boxes:

• Systems engineering experience, including Linux performance, memory management, I/O tuning, configuration, security, networking, clusters, and troubleshooting
• Should have a good understanding of Networking concepts and protocols (DNS, TCP/IP, SSL/TLS, etc)
• Storage engineering experience, including NAS, SAN, SSD, multi-pathing, and caching
• Experience building and maintaining complex mission-critical production database systems
• Be able to read code, and basic coding/scripting ability in one or more languages: Java, Python, Ruby, C, C++, C#, Javascript, node.js, Go, etc
• Broad awareness of customer workloads and use cases, including performance, availability, and scalability
• Experience analyzing issues holistically, from the application tier through the database, down to the storage
• Genuine desire to help people
• Ability to think on your feet, remain calm under pressure, and solve problems in real-time
• Desire and ability to rapidly learn a wide variety of new technical skills
• Collaboration: willingness and ability to get help from team members when required, and the good judgment to know when to seek help

Bonus Points

• Experience managing large scale databases (e.g. RDBMS, NoSQL)
• Experience with authentication systems such as LDAP, Kerberos, AD
• Experience using or managing MongoDB
• Experience using distributed version control systems, and in particular git
• Experience using any cloud services stack such as AWS, Azure or GCP
• Experience with Kubernetes or other orchestration systems using vendor-specific Enterprise operators.

Success Measures

• In 3 months, you’ll have gained a deep understanding of MongoDB and its ecosystem. You will complete New Hire Training
• In 6 months, you will be comfortable working frontline with our customers. You will also complete the MongoDB Certified DBA Associate exam
• In 12 months, you will be a technical specialist within MongoDB and will be helping your peer engineers in advance diagnostics. Also, you will be encouraged to handle technical escalations independently

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, 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: 1273373874

MongoDB is hiring a Senior Manager, HR Compliance to join our Americas Employee Experience team. This role reports to the Senior Director of Americas Employee Experience and is responsible for evolving, refining, and operationalizing a comprehensive compliance framework and strategy across the region.

The role includes direct management of one team member responsible for immigration and global mobility within the Americas region, ensuring these programs are effectively aligned with compliance requirements and broader people strategies.

As a key member of the Americas Employee Experience leadership team, this individual will help drive a culture of compliance and operational excellence, while also supporting team-wide planning, key initiatives, and quarterly business reviews (QBRs).

This role partners closely with regional Employee Experience leaders (Americas, EMEA, APAC) and maintains strong alignment with the Global Risk & Compliance function to ensure consistency in processes, policies, controls, and audit readiness.

Key Responsibilities

• Lead the continued development, refinement, and execution of a scalable HR compliance framework across the Americas (policy, training, audits, and programs), including a roadmap for future capabilities
• Build and embed a culture of compliance and best practices across the People Team and broader organization
• Develop and implement programs to ensure adherence to applicable laws, regulations, and internal policies; ensure in-region compliance of HR policies, processes, and programs
• Own and oversee immigration and global mobility programs for the Americas through direct management of a dedicated team member, ensuring regulatory compliance, effective vendor partnership, and alignment with business and talent needs
• Partner with Employee Relations and HR leadership to support compliant handling of employee matters, providing guidance, frameworks, and risk-based input (without direct ownership of ER processes)
• Partner closely with the Global Risk & Compliance function to align on controls, processes, policies, and audit activities; support internal and external audits as required
• Lead regular compliance audits and risk assessments, including policy creation, documentation, manager training, and systems/process approvals to identify risks and drive corrective actions
• Collaborate with HR leadership to create, implement, and maintain HR policies and procedures, ensuring consistency and effective escalation frameworks
• Partner closely with Legal to stay current on regulatory changes and translate requirements into actionable guidance
• Collaborate cross-functionally to integrate compliance considerations into business processes and decision-making
• Design and deliver compliance training programs to educate HR staff, managers, and employees on obligations and best practices
• Establish and maintain effective channels for reporting compliance concerns and support investigations as needed
• Prepare and present regular compliance reports to senior management highlighting key metrics, trends, and risks
• Build relationships with regulatory agencies, industry associations, and external stakeholders as needed
• In partnership with other regional HR Compliance Leads, drive key operational rhythms, including project management of or collaborations on global initiatives and coordination of quarterly business reviews (QBRs)

Qualifications

Basic Qualifications

• Bachelor’s degree or equivalent experience
• 10+ years of experience in HR compliance, employment law, or related field
• 5+ years of experience applying U.S. employment law across multiple states
• 3+ years of experience building and implementing HR compliance programs (policies, audits, training)
• 2+ years of people management experience
• Experience partnering with Legal, Employee Relations, and/or Risk/Compliance functions
• Experience supporting audits, including controls, documentation, and remediation
• Experience delivering compliance training to HR and/or managers
• Experience operating in ambiguous, fast-paced, or high-growth environments
• Experience working in multi-state or complex organizational environments

Preferred Qualifications

• Master’s degree or JD
• Experience supporting multi-country HR compliance programs (Americas or global)
• Experience overseeing or partnering on immigration and global mobility programs
• Experience working in a public company or SOX-regulated environment
• Experience in the technology industry or other high-growth environments
• Professional certification such as PHR, SPHR, SHRM-CP, SHRM-SCP, or equivalent

About the Team

The Employee Experience Team at MongoDB is the face of HR to our global employee population. The team is responsible for delivering full employee lifecycle support—from onboarding through separation—in partnership with the broader People Team, including Recruiting, Total Rewards, Learning & Development, Employee Engagement & Inclusion, HR Business Partnering, and HR Operations.

The team also leads employee relations, workplace initiatives, policy and process enhancements, regional compliance, and programs designed to strengthen manager capability and overall employee experience.

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: 1273417818

ABOUT THE JOB

The Infrastructure Engineering organization is looking for an accomplished Staff Network Engineer to lead our acquisition integration engineering practice with a specific focus on networking. This pivotal role will own the end-to-end network infrastructure engineering lifecycle of integrating newly acquired businesses into Anduril's existing ecosystem. You will be instrumental in defining, executing, and maturing our network integration processes, from initial discovery and assessment through migration execution and hypercare. This individual will possess a remarkable dynamic range, capable of engaging effectively with company founders and executives, producing network architecture and roadmaps, and rolling up their sleeves to perform hands-on engineering work. A key responsibility will be collaborating with stakeholder teams (Merger & Acquisition program team, Client Engineering, Business systems & Applications) to define and establish our network acquisition integration engineering practice, developing repeatable, benchmarked processes that undergo rigorous post-mortems and continuous improvement. You will also identify critical tooling gaps that can expedite discovery, migration, and testing activities, either building these tools yourself or scoping them for peers to deliver. While you will collaborate closely with Security and Client Engineering teams, a strong foundational understanding of these domains is essential, complementing your deep networking expertise.

WHAT YOU'LL DO

• Define, establish, and lead the network infrastructure integration engineering practice, setting the technical vision and strategy for integrating new entities and their network technologies.
• Single threaded ownership of all network infrastructure components of acquisition integration from discovery and due diligence through migration execution and hypercare.
• Conduct comprehensive technical assessments of target companies' network infrastructure, systems, and operational capabilities, identifying risks and opportunities.
• Develop and present high-level network architectural strategies and detailed roadmaps for integrations to executive leadership, founders, and technical teams.
• Design and implement robust, scalable, and secure network architectures for integrated environments, ensuring alignment with Anduril's overall technology strategy.
• Develop and execute detailed network migration plans, managing complex technical challenges and dependencies.
• Provide post-migration hypercare support for network infrastructure, ensuring a smooth transition and stabilization of integrated systems.
• Define, document, and continuously improve repeatable network integration processes to accelerate acquisition integration, establishing benchmarks, conducting post-mortems, and implementing lessons learned.
• Identify, evaluate, and implement or scope the development of new tools and technologies to enhance network discovery, migration, and testing efficiency.
• Collaborate closely with Security teams to ensure all integrated network infrastructure meets Anduril's stringent security requirements and policies.
• Partner with Client Engineering teams to ensure seamless integration of acquired client-facing network services and connectivity.
• Provide clear, concise, and opinionated technical guidance on networking, and proactively push back on misaligned proposals to ensure successful technical outcomes.
• Act as a technical authority, mentor, and trusted advisor to engineering teams involved in network integration efforts.

REQUIRED QUALIFICATIONS

• Minimum of 9 years of progressive experience in Network Engineering and/or IT Infrastructure roles with a focus on complex, enterprise-scale network environments.
• Self-sufficient ability to execute in (technical and non-technical) program management, network architecture, and hands-on engineering capacities.
• Demonstrated expertise in defining and building network engineering practices and repeatable processes.
• Proven ability to operate across the entire network engineering lifecycle, from strategic discovery and architecture to hands-on execution and hypercare.
• Exceptional ability to communicate complex network technical concepts to diverse audiences, including C-suite executives, founders, and engineering teams.
• Deep understanding of modern cloud networking (AWS, Azure, GCP), hybrid cloud network solutions, and on-premises network infrastructure.
• Extensive experience with enterprise networking technologies, including advanced routing (BGP, OSPF), switching (VLANs, Spanning Tree), firewalls (Palo Alto, Fortinet, Cisco ASA), VPNs (IPsec, SSL), and load balancing (F5, HAProxy).
• Strong knowledge of network protocols, network segmentation, and traffic management.
• Experience with network security principles, intrusion detection/prevention systems (IDS/IPS), and security information and event management (SIEM) systems as they relate to network infrastructure.
• Proficiency in scripting and automation for network deployment and management (e.g., Python, Ansible, Terraform, Nornir).
• Strong understanding of security principles, best practices, and common vulnerabilities within network infrastructure.
• Familiarity with client engineering principles and technologies, particularly as they interface with network services.
• Proven experience in identifying tooling gaps and either developing solutions or effectively scoping them for development.
• Excellent analytical, problem-solving, and critical thinking skills related to network performance and reliability.
• Ability to travel for remote deployments and assessments as required.
• Ability to obtain and maintain a US Secret Clearance

PREFERRED QUALIFICATIONS

• Experience with network automation frameworks and principles.
• Familiarity with CI/CD pipelines and DevOps methodologies as applied to network operations.
• Experience with data center network design and operations.
• Experience in the defense technology or highly regulated industries with a strong network security focus.

About the Role

We are a technology-driven biotechnology company using AI to compress the timelines of drug discovery and development. At Xaira, we believe that becoming a truly AI-native organization is not a future ambition. It is a present imperative. The way we build our infrastructure, adopt our tools, and lead our technology function will determine how fast we can move and how far we can go.The optimal candidate is energized and enthused to push the frontier of what an enterprise can do with all available and evolving AI tools.

We are seeking a VP of Information Technology to serve as the senior-most IT leader and AI evangelist on the team. The optimal candidate is energized and enthused to push the frontier of what an enterprise can do with all available and evolving AI tools.This role will own the full scope of IT: strategy, security, infrastructure, operations, and the team that delivers it all. You will set the technology direction for Xaira, build a high-performing function, and be accountable for outcomes across the organization.

This is a role for an experienced leader who understands that in a company like ours. It is not a support function. It is the infrastructure on which scientific breakthroughs are built. You will be the architect of an AI-native enterprise, embedding intelligence into how we operate, how we discover, and how we scale. You will enable our team to move faster, work smarter, and focus on what matters most: getting medicines to patients sooner.

What You'll Own

Technology Strategy & Architecture

• Define and own the company's IT roadmap across cloud infrastructure, enterprise applications, end-user computing, networking, and AI-powered systems purpose-built for drug discovery and development
• Make architectural decisions with long-term scalability in mind, not just near-term need
• Lead the company's AI adoption strategy across the enterprise, identifying where AI and machine learning tools can meaningfully accelerate research workflows, computational biology pipelines, and clinical operations
• Embed AI-driven automation into how the company works at every level, from IT operations and security to scientific data workflows, reducing manual overhead and giving researchers more time to do science
• Identify and adopt emerging technologies in the life sciences AI space that create meaningful competitive advantage in speed and precision

Infrastructure & Operations

• Ensure the reliability, performance, and scalability of all enterprise systems including the AI, machine learning, and high-performance computing platforms that power drug discovery
• Build and maintain cloud-first infrastructure that can support the significant compute and data demands of AI-driven research without becoming a bottleneck to scientific progress
• Own incident management processes including root cause analysis, post-mortems, and follow-through on remediation
• Establish and enforce SLAs, OKRs, and operational standards with clear accountability

Security

• Serve as the company's senior security leader in the absence of a CISO, owning the full security posture across network, endpoint, identity, cloud, and application layers
• Lead all compliance programs including SOC 2, ISO 27001, GDPR, CCPA, and applicable life sciences regulatory requirements
• Build a proactive security culture that encompasses threat modeling, vulnerability management, incident response, and employee awareness
• Report regularly to executive leadership and the board on risk, security posture, and mitigation plans
• Make informed decisions on the trade-offs between operational speed and security risk

Team Leadership

• Recruit, develop, and retain a strong IT organization with the depth to scale alongside the business
• Build a culture of accountability, professional growth, and operational excellence
• Develop strong internal talent and succession planning so the organization is resilient at every level

Executive Partnership

• Act as a trusted technology advisor to the CEO, CFO, and broader leadership team
• Partner with Engineering, Finance, Legal, People, and Operations to ensure IT functions as a strategic business enabler
• Communicate technical strategy and risk in clear, accessible terms for non-technical stakeholders

Vendor & Financial Management

• Own and manage the IT budget with a focus on both fiscal discipline and strategic investment
• Develop and manage key vendor relationships and negotiate enterprise agreements that support long-term business flexibility
• Ensure technology spending is purposeful and tied to measurable business outcomes

What We're Looking For

Required

• 15+ years of progressive IT leadership, including 5+ years as the senior IT leader (VP, CIO, or equivalent) at a high-growth technology company
• Proven experience owning both IT operations and security without a dedicated CISO
• Deep expertise across cloud platforms (GCP, AWS, or Azure), enterprise architecture, SaaS ecosystems, and modern endpoint management
• Working knowledge of cybersecurity principles, risk frameworks, and compliance programs sufficient to lead the function with credibility
• Demonstrated ability to lead effectively in uncharted territory, setting direction and adapting as the business evolves
• Strong analytical and data-driven approach to decision-making
• Excellent executive communication skills, with the ability to present to and influence a board of directors
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience

Preferred

• Experience at a scaled technology or life sciences company
• Proven hands-on experience with AI/ML infrastructure, LLM tooling, and intelligent automation at enterprise scale
• A track record of driving company-wide AI adoption, not just evaluating tools but leading the organizational change that makes adoption stick
• Experience scaling IT through rapid organizational growth
• CISSP, CISM, or equivalent security credential
• MBA or advanced technical degree

Leadership Competencies

• Strategic Vision Translates complex business and scientific goals into a clear, actionable IT roadmap. Anticipates organizational needs and makes technology investments that deliver long-term value.
• People Leadership Builds, develops, and retains high-performing teams. Creates an environment where people do their best work through clarity of direction, coaching, and genuine investment in career growth.
• Operational Excellence Holds a high bar for reliability, efficiency, and continuous improvement. Establishes the processes, metrics, and accountability structures that keep the organization running at its best.
• Security & Risk Management Owns the company's security posture end to end. Makes sound, defensible decisions on risk in a regulated, data-sensitive environment and communicates clearly to executive leadership.
• Communication & Influence Earns trust and drives alignment across the organization, from the lab bench to the boardroom. Able to make technical complexity understandable and compelling to any audience.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $300,000 - $325,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Team Description:

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of excellence, aiming to uphold the highest standards of Good Clinical Practice (GCP) while redefining what’s possible and revolutionizing the way people interact with technology. Through strict compliance with ethical and regulatory protocols, we focus on ensuring the well-being of our trial participants while advancing the frontiers of neuroscience! Every day will bring fresh challenges and unprecedented opportunities to pioneer new approaches in the pursuit of our mission. From navigating regulatory pathways, designing trial protocols and documentation, and executing clinical trials, our team is instrumental in translating Neuralink’s BCI technology for use in people!

Job Description and Responsibilities:

As a Field Clinical  Engineer, you will be on the front lines of Neuralink’s clinical programs, working directly with participants, clinicians, and internal teams to translate cutting-edge neurotechnology into meaningful functional outcomes. This role is ideal for individuals with a background in PM&R, occupational therapy, or physical therapy who also have experience in medical devices and thrive in dynamic clinical environments.

You will play a critical role in bridging clinical care, engineering, and research by supporting device use, optimizing participant performance, and ensuring high-quality data collection in both clinical and home settings.

This role requires someone who is hands-on, clinically grounded, technically curious, and able to adapt quickly. You should be comfortable working with participants with significant neurological impairments and motivated by improving independence and quality of life.

In this role, you will:

• Work directly with study participants to support device use, training, and optimization during clinical sessions and at home
• Apply principles of rehabilitation (PM&R, OT, PT) to maximize participant outcomes and functional performance with the system
• Collaborate closely with surgeons, investigators, and site staff to ensure seamless clinical execution across all phases of the study
• Serve as the primary interface between participants and the technology, troubleshooting issues in real time and escalating when needed
• Support surgical and post-operative workflows, including intraoperative and early post-implant sessions where applicable
• Ensure high-quality, protocol-compliant data collection by aligning participant activities with study endpoints and data capture requirements
• Partner with clinical, engineering, and data teams to translate real-world use into actionable insights for product and algorithm development
• Identify trends in participant performance, usability challenges, and safety signals, and communicate clearly to cross-functional teams
• Contribute to development and refinement of training protocols, user workflows, and clinical best practices
• Support site onboarding, training, and ongoing engagement to ensure consistency and scalability across clinical sites
• Assist in preparation for regulatory inspections and ensure activities are conducted in compliance with GCP, protocol requirements, and internal procedures
• Travel to clinical sites as needed to support study execution and participant care

The ideal candidate:

• Has a clinical background in PM&R, occupational therapy, or physical therapy, with hands-on experience working with neurological populations (e.g., SCI, ALS, stroke)
• Has experience working with medical devices in a clinical or field-based role
• Is highly adaptable, proactive, and comfortable operating in a fast-paced, evolving environment
• Is technically curious and able to engage with engineers to troubleshoot and improve system performance
• Communicates clearly and builds trust with participants, clinicians, and cross-functional teams
• Is detail-oriented and understands the importance of protocol adherence and data integrity in clinical research

Required Qualifications: 

• Clinical training and hands-on experience in PM&R, occupational therapy, or physical therapy, with a focus on neurological populations (e.g., SCI, ALS, stroke)
• 3+ years of experience in a clinical, field-based, or medical device–adjacent role (rehab, neuromodulation, assistive technology, or similar)
• Demonstrated experience working directly with patients and clinicians in dynamic care environments
• Strong problem-solving skills with the ability to troubleshoot clinical and technical issues in real time
• Ability to interpret participant performance, functional outcomes, and device behavior to inform next steps
• Comfort working with technology, including basic data review and interaction with software-driven systems (no need to be a coder, but not afraid of one either)
• Working knowledge of clinical research principles, including protocol adherence, endpoint-driven activities, and data quality expectations
• Familiarity with Good Clinical Practice (GCP) and general clinical study conduct
• Ability to collaborate effectively across clinical, engineering, and operations teams
• Strong communication skills, with the ability to engage both participants and highly technical teams
• High attention to detail, with the ability to manage multiple participants, sites, and priorities simultaneously
• Willingness to travel frequently to support clinical sites and participants

Preferred Qualifications:

• Degree or formal training in bioengineering, biomedical engineering, or a related field, with exposure to neurotechnology or implantable systems
• Experience working with neuromodulation, brain-computer interfaces, or other neurorehabilitation technologies
• Prior experience in a clinical field engineer, clinical specialist, or applications role within a medical device company
• Experience supporting surgical procedures, intraoperative environments, or early post-implant programming and troubleshooting
• Familiarity with signal-based systems (e.g., neural data, EMG, EEG) and comfort interpreting system performance in real time
• Exposure to rehabilitation technology integration, including assistive devices, digital interfaces, or adaptive control systems
• Experience supporting multi-site clinical studies or working directly with investigators and study coordinators
• Comfort working with data systems (e.g., EDC platforms, basic data visualization tools) to review participant performance and study metrics
• Understanding of usability, human factors, and patient-centered design principles
• Prior involvement in training clinicians or participants on device use and workflows
• Experience working in early-stage or rapidly evolving clinical programs where processes are still being defined

The Position: 

OPSWAT is now searching for Tier 2 Technical Support Engineer to join our Customer Support team. The role focuses on diagnosing and resolving complex technical issues and escalated issues from tier 1 support and ensuring customer satisfaction through timely responses. We are looking for an energetic and motivated person who likes interacting with customers, tinkering with software, learning about new technologies, and “doing what it takes,” to contribute to OPSWAT’s quick growth.

Responsibilities:

• Handle complex technical issues and escalated ones from tier 1 support via phone, case system, and chat.
• Provide advanced troubleshooting and support for OPSWAT solutions via log analysis, system diagnostics, network configurations.
• Conduct remote sessions with customers.
• Reproduce customer issues in lab environments and validate solutions and bug fixes.
• Evaluate the complexity of issues and escalate to tier 3 support.
• Collaborate with Tier 1 and Tier 3 support well.
• Work closely with technically oriented customers (typical customers are engineers and IT personnel).
• Provide status updates to customers, adhering to SLA and commitments.
• Maintain clear and professional communication to ensure positive customer experience and CSAT
• Contribute to the KBs creation and updates for customer’s self-service.
• Mentor L1 support and contributes to support process improvement.
• Get involved in professional delivery services.
• Get involved in other side projects and operations per request.

Minimum requirements:

• A good foundation of basic networking concepts.
• Basic knowledge of Linux, with an interest in expanding the knowledge.
• Ability to think logically, analyze logs and troubleshoot computer software and IT related issues.
• Troubleshooting SCADA communications issues
• Hands-on understanding of major DevOps tools: Docker, Kubernetes (GCP GKE), CI/CD tools, Terraform, Ansible, Monitoring & Logging Tools (Zipkin, Sentry, Prometheus, ELK stack).
• Strong spoken and written English.
• Excellent communication and interpersonal skills.
• A proven customer-oriented attitude.
• Strong team collaboration abilities and organizational skills.
• At least 2-4 years of Experience in providing customer support of technical software products or a technical helpdesk environment or a related field.

 Nice to have

• Bachelor’s degree in computer science (CS), or technical discipline, or equivalent experience.
• Experience working with offshore teams. 
• Familiarity with computer programing.
• Technical familiarity with Mac OS.
• Cybersecurity domain experience, including file security, device security, network security, etc.
• Network integration skillsets (e.g. Cisco, Dell-EMC, Juniper, Aruba, Ruckus, Meraki, Aerohive, Extreme, etc).
• Certifications/Training: Relevant SCADA or PLC OEM certifications.
• Experience in Control System Design, PLC Programming, & SCADA Development
• Experience in Cloud Based Services (e.g. AWS, GCP).
• Experience working on Linux based infrastructure.
• Experience working with scripting languages such as bash script, PowerShell, and Python.
• Configuration and management of databases such as MySQL, Mongo.

About ROLLER

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!

About the Role

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build & architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.

What You'll Do

• Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
• Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
• Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
• Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
• Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
• Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
• Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
• Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
• Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.

About You

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.

• 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build

• Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
• Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
• Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.

• Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
• Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
• Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
• Ability to design high-performance dashboards that prioritize user experience and fast load times.

• Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
• Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.

• Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
• Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
• Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
• You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You’re comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.

We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We’re looking for candidates with the proficiency and curiosity to embrace AI and technology — not just as a technical skill, but as a core competency to help us achieve big goals

Preferred Qualifications

• Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
• Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
• Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.

Perks!

• You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
• ROLLER Recharge days to celebrate and recharge once we've hit our goals
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
• Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect

1. Initial call with our Talent Acquisition Manager
   You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
2. Interview with the Hiring Manager
   You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.
3. Loop Interviews
   This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!
4. Offer
   If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

THE ROLE

As a Security Operations Engineer in the Global Information Security Office (GISO), you will lead the mission to reduce our global attack surface across cloud, endpoint, and SaaS environments. You will report to the Senior Security Operations Manager and work closely with Cloud Platform, Network Engineering, and DevOps teams to connect Zero Trust connectivity and vulnerability management into a coherent program. This role differentiates itself by moving beyond simple task execution to architecting automated, risk-based outcomes that enable the business to scale safely while protecting our most critical assets.

WHAT YOU’LL DO

• Own the Vulnerability & Asset Lifecycle: Drive risk-based remediation across cloud, container, and endpoint environments. You will shift the needle from volume-based reporting to exploitability-led prioritization (EPSS), utilizing asset intelligence to ensure remediation meets SLAs that tangibly reduce organizational risk.
• Engineer Zero Trust & Connectivity: Lead the operational excellence of Zscaler (ZIA/ZPA). You will manage complex SSL/TLS inspection strategies and policy enforcement to provide seamless, secure access while maintaining deep visibility into encrypted traffic flows.
• Eliminate Credential & Secret Risk: Act as the primary architect for secrets detection within CI/CD pipelines. You will partner with DevOps to automate the identification and remediation of exposed credentials, moving security "left" from code to cloud.
• Architect Detection, Deception, & Automation: Build advanced detection queries in Splunk and deploy enterprise-wide deception strategies aligned with the MITRE ATT&CK framework. You will automate manual triage via Python or SOAR workflows to turn raw security data into high-fidelity alerts.
• Validate & Simulate Defenses: Execute targeted adversary simulations and controls validation (e.g., Atomic Red Team) to verify that detections perform as expected, providing risk-rated findings to technical leaders.
• Translate Risk for Stakeholders: Serve as the technical authority who can pivot from deep-packet inspection troubleshooting to delivering "Fix Impact Reports" for executive leadership, quantifying how remediation efforts have eliminated critical threats.

WHAT YOU BRING

• Security Engineering & Vulnerability Mastery: You possess deep experience in security operations and vulnerability management within enterprise environments, including hands-on experience with asset discovery and secrets detection tools such as runZero, TruffleHog, or GitLeaks.
• Zero Trust & Cloud Specialization: You have technical depth in configuring and operating Zero Trust platforms—specifically Zscaler ZIA/ZPA (including SSL inspection design and policy tuning)—and experience securing major cloud providers like AWS, GCP, or Azure.
• Analytical Automation & DevSecOps: You are proficient in SIEM detection engineering (Splunk) and scripting (Python, PowerShell, or Bash), with a proven ability to integrate secrets scanning and automated remediation workflows directly into CI/CD pipelines.
• Offensive Security & Strategic Communication: You bring practical experience with threat emulation and deception technologies mapped to MITRE ATT&CK, coupled with the ability to partner with engineering teams to prioritize remediation and translate technical risk into business-relevant language.

We are primarily an in-office environment. You will be expected to work from our Santa Clara, CA or Lehi, UT office in compliance with company policies, unless on approved PTO, work travel, or other leave.

We are looking for a top-tier Enterprise Cloud Security Engineer to design and secure the cloud infrastructure supporting the next phase of sustainable air mobility. You are a collaborative, hands-on professional with excellent communication skills and the ability to see the big picture. In this role, you will be responsible for securing our cloud-native environments (AWS/Azure) and ensuring that our telemetry, flight operations, and enterprise systems are protected against advanced persistent threats. You will connect DevOps and Security by incorporating "secure-by-design" principles into our Infrastructure as Code (IaC) and CI/CD pipelines, while ensuring compliance with aviation and federal standards (NIST CSF, 800-53, FedRAMP, DO-326A).

Key Responsibilities

• Cloud Architecture & Hardening: Design, implement, and maintain secure cloud architectures across AWS and Azure. Enforce zero-trust principles and least-privilege access using advanced IAM policies and roles.
• Infrastructure as Code (IaC) Security: Lead the security review and automated scanning of IaC templates (Terraform, CloudFormation, Helm). Prevent misconfigurations before they reach production.
• DevSecOps & Automation: Integrate security tooling (CSPM, CWPP, Secret Scanning) directly into CI/CD pipelines (Jenkins, GitLab, GitHub Actions) to enable rapid, secure deployment.
• Kubernetes & Container Security: Secure containerized workloads and orchestration platforms (EKS/AKS), ensuring runtime protection, image scanning, and network segmentation.
• Compliance & Governance: Map cloud security controls to industry frameworks, including NIST SP 800-53, ISO 27001, and aviation-specific standards like DO-326A—Automate evidence collection for audits.
• Threat Detection & Incident Response: Build high-fidelity detection rules for cloud threats using SIEM/SOAR platforms. Lead investigations into cloud security incidents and perform forensics on ephemeral workloads.
• Telemetry & Data Protection: safeguard critical flight telemetry and sensitive data pipelines through robust encryption, key management (KMS/HSM), and data loss prevention (DLP) strategies.

Required Qualifications

• Experience: 5+ years of experience in Cloud Security, DevSecOps, or Infrastructure Engineering, with at least 3 years focused on public cloud (AWS, Azure, and GCP).
• Technical Mastery: Deep hands-on expertise with Terraform, Kubernetes, and Linux environments.
• Coding/Scripting: Proficiency in Python, Go, or Bash for automating security tasks and building custom tooling.
• Security Tooling: Experience implementing and tuning CSPM/CNAPP tools (e.g., Wiz, Prisma Cloud, Orca, Sysdig) and SIEM platforms (Tenex, Splunk, Datadog Security).
• Frameworks: Working knowledge of NIST CSF, NIST 800-53, or FedRAMP requirements.

Preferred Qualifications

• Aerospace/Defense Experience: Familiarity with DO-326A (Airworthiness Security), ITAR regulations, or safety-critical systems.
• Certifications: AWS Certified Security – Specialty, Azure Security Engineer (AZ-500), CKA (Certified Kubernetes Administrator), and CISSP, CISM.
• Architecture: Experience designing "Zero Trust" networks and implementing Service Mesh (e.g., Istio, Linkerd) security.
• Offensive Security: Experience conducting cloud penetration tests or "Purple Team" exercises to validate defenses.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $155,000.00 - $185,00.00. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

THE ROLE

As a Senior Customer Success Manager (CSM), you will serve as a trusted advisor and customer advocate, personalizing the Everpure and Portworx experience for our clients. You'll build strong relationships, manage the end-to-end post-sales journey, and act as a subject matter expert by bridging communication between customers and our internal teams. Your mission will be to ensure successful deployment, drive adoption, and deliver value realization that contributes to renewals and growth.

WHAT YOU'LL DO

• Own the overall post-sales service delivery relationship with key customers, managing everything from onboarding and adoption to escalations and renewals to ensure a seamless and positive experience.
• Develop a deep understanding of your customer’s business priorities, technical environment, and challenges to act as a strategic advisor and align our technology with their business goals.
• Drive growth and satisfaction by delivering quarterly business reviews, and identifying opportunities to expand the customer’s use of Everpure and Portworx. 
• Act as a primary customer advocate and conduit into various cross-functional teams, including Sales, Support, Engineering, and Executive leadership, to ensure the customer's voice is heard and issues are resolved.
• Lead key operational and growth reviews to ensure smooth service delivery, manage risk, and plan for future capacity needs and expansions.

WHAT YOU BRING

• 5 + years’ experience in customer-facing, relationship management role. Prior experience in TAM, CSM, Professional Services, Support and Sales Engineer (or similar) roles.
• 1 + years experience working with container orchestration technology in an enterprise environment
• Customer Success Expertise: Proven experience in a customer-facing, relationship management role, demonstrating the ability to build trusted partnerships with premier enterprise clients.
• Technical Acumen: Working knowledge of container orchestration technologies, especially Kubernetes, and a broad understanding of the cloud-native landscape, including public cloud platforms like GCP, AWS, and Azure. Familiarity with application onboarding, performance measurement & Storage.
• Exceptional Communication: Excellent written, verbal, and presentation skills with the ability to articulate technical issues to both technical and non-technical audiences and effectively present to executives.
• Project Management Skills: The ability to manage multiple projects and customers simultaneously, define project urgency, and execute detailed action plans in a fast-paced and ambiguous environment.

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

#LI-ONSITE

THE ROLE

The Storage Benchmarking Engineer will design, execute, and analyze performance benchmarks using industry-standard tools like fio, vdbench, SPEC SFS 2020, IO500, MLPerf, and more. This role demands strong end-to-end performance troubleshooting skills across the entire stack (compute, network, and storage), along with collaboration with engineering, product management, marketing, and sales teams. The ideal candidate will have experience engaging with benchmark standards organizations and communities, exceptional communication and writing skills.

WHAT YOU'LL DO

• Configure HPC lab environment so all systems can achieve maximum efficiency and scale to support a variety of different test harnesses. This includes robust automation to ensure labs can be rapidly configured/reconfigured to meet a variety of different benchmarks. 
• Design and execute storage performance benchmarks using industry-standard benchmarks, including fio, vdbench, SPEC SFS 2020, IO500, MLPerf, SPC-1/SPC-2 (or similar benchmarks).
• Perform end-to-end performance troubleshooting and debugging across compute, network, and storage components to pinpoint and resolve bottlenecks and achieve the best possible results.  
• Develop and maintain automated benchmarking workflows using tools like Ansible, Python, or Bash to ensure rapid provisioning and efficient, repeatable, and reproducible test results.  
• Analyze benchmark results, generate detailed reports, and provide actionable insights to engineering teams for product optimization.  
• Collaborate with engineering, product management, marketing, and sales to align benchmarking efforts with product goals and customer needs.  
• Engage directly with benchmark standards organizations (e.g., SPEC, SNIA, MLCommons) and communities to influence methodologies and stay ahead of industry trends.  
• Deliver high-impact presentations to internal teams, customers, and external stakeholders, translating complex technical data into clear narratives.  
• Write technical marketing documents, whitepapers, and performance summaries to support product launches and customer engagement.  
• Maintain comprehensive documentation of benchmarking processes, configurations, and results.
• We are primarily an in-office environment and therefore, you will be expected to work from the Santa, Clara office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field (or equivalent experience).  
• 5+ years of experience in storage performance benchmarking or a related technical role.  
• Proven expertise with storage benchmarking tools, including:  fio: Flexible I/O tester for workload simulation, vdbench: Versatile storage benchmarking tool for enterprise workloads.  
• Standard Performance Evaluation Corporation (SPEC) Spec Sfs2020
• Strong end-to-end performance tuning and troubleshooting skills across the entire stack include compute, network, and storage layers.  
• Hands-on experience with automation tools (e.g., Python, Ansible, Bash) for test orchestration and data collection.  
• Demonstrated track record of interfacing with engineering, product management, marketing, and sales teams.
• Direct engagement with benchmark standards organizations (e.g., SPEC, SNIA, MLCommons etc) and storage benchmarking communities.  
• Exceptional communication skills, with proven ability to deliver engaging technical briefs and presentations to technical and non-technical audiences.  
• Strong writing skills, ideally with experience authoring technical marketing documents, whitepapers, or performance summaries.  
• Proficiency in data analysis and visualization tools (e.g., Python, R, sheets, Excel, Tableau etc).  
• Deep understanding and hands-on proficiency with enterprise storage technologies (e.g., NVMe, SSDs, and scale up and scale out block/file/object storage, distributed systems).  
• Experience with Everpure Storage products (e.g., FlashArray, FlashBlade) or similar enterprise block, file and object storage platforms.  
• Familiarity with cloud storage (e.g., AWS S3, Azure Blob, Google Cloud Storage) or HPC environments.  
• Knowledge of containerized benchmarking workflows using Docker or Kubernetes.  
• Prior contributions to benchmark standards or open-source performance tools. 

#LI-ONSITE

THE ROLE:

Are you passionate about driving innovation in the cyber resilience space? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer within a Pod model for an emerging business positioned for high growth

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Delight customers and teammates with your technical leadership and domain expertise in Disaster Recovery and Cyber Resilience, storage products, and competitive offerings in the DR and Cyber Resilience product spaces
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Take control of evaluations, benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise software, SaaS, storage, or cloud to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered Cyber Resilience and Disaster Recovery solutions
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Working knowledge of applications relevant for DR/Cyber Recovery including Active Directory, DNS, Layer 2/3 networking
• Working knowledge of VMware (vCenter, ESX, virtualized storage and networking)
• Working knowledge of AWS (EC2, EBS), Azure, GCP, containers, k8s and microservices architectures a plus
• Strong focus on understanding how to speed up PoCs to move pipeline opportunities from validation to late-stage/deal close
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Excellent verbal and written interpersonal skills

{INCLUDE ONE OF THE BELOW FOR POSTING LOCATION IDENTIFICATION}

#LI-REMOTE

THE ROLE

The Release Manager is a senior individual contributor position requiring a blend of technical depth, process discipline, and strong cross-functional coordination skills to ensure that software releases are planned, coordinated, and delivered efficiently, reliably, and with minimal disruption to business operations. Acting as the central point of control for release activities, this individual partners with development teams, environment owners, and network operations to manage the end-to-end release process from release planning  through deployment and post-release review.

WHAT YOU'LL DO

Release Planning & Coordination

• Establish and maintain release calendars across ERP (e.g., SAP, NetSuite), CRM (e.g., Salesforce, Logik), and integration tools (e.g., Boomi).
• Own and maintain the enterprise release calendar, aligning release timelines and environment maintenance with business priorities and technical readiness.
• Collate release scope, dependencies, and schedules across multiple applications, teams, and environments.
• Facilitate, go/no-go meetings, and cutover planning sessions.

Governance & Quality Assurance

• Ensure all releases meet defined entry/exit criteria, change control policies, and compliance requirements.
• Define and continuously refine release management standards, templates, and best practices.
• Maintain release documentation, including release notes, deployment plans, and rollback procedures.
• Establish and administer environment management governance, promotion criteria, and promotion governance practices
• Ensure runbooks for environment refresh and system deployment are in place and current for the individual platforms and the environments as a whole.

Execution & Risk Management

• In collaboration with individual platform and domain owners, oversee and coordinate deployment execution across environments (test, QA/SIT, pre-production, production).
• Identify, communicate, and manage release-related dependencies, risks, and issues. Develop and track mitigation and rollback plans as needed.
• Serve as the primary escalation point during release execution, ensuring timely resolution of blocking issues for deployments.

Collaboration & Communication

• Provide clear, consistent communication on release scope, schedule, and status to critical stakeholders including PMO, OCM, development teams, and business stakeholders.
• Collaborate with PMO and teams to ensure program plans and PI plans account for and are in alignment with the release calendar.
• Engage with business partners to ensure release plans, environment management plans, and overall release calendars include business-driven black-out periods and other key business events that can affect deployment and go-live of new releases.

Continuous Improvement

• Establish release-related metrics for success, including measures such as release success rates, deployment frequency, refresh cycle time, and change failure rates.
• Produce and distribute regular release dashboards and reports, including key release-related success metrics, upcoming releases and deployments, and environment maintenance.
• Partner with SRE, DevOps, and development teams to automate and streamline release processes.
• Conduct periodic reviews and drive continuous improvement initiatives to enhance release quality, reliability, and speed.
• Contribute to the evolution of CI/CD and environment management practices based on objective data and lessons-learned from release retrospectives and incident response.

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

WHAT YOU BRING

Required

• Detail-oriented with strong analytical and problem-solving skills.
• Calm and decisive under pressure, able to quickly respond to issues and remediate problems
• Process-driven yet adaptable to agile and fast-moving delivery models.
• Previous experience managing release across multiple business applications CRM, ERP, HCM etc..
• Collaborative, proactive communicator who builds trust across technical and business teams.
• Excellent communication, organizational, and stakeholder management skills.
• Demonstrated ability to manage multiple concurrent releases under tight deadlines with minimal supervision.
• 8+ years of experience in release management, build/release engineering, or DevOps coordination in complex IT or high-tech product environments.
• Strong understanding of software development lifecycles (SDLC), agile methods, and ITIL release management principles.
• Proven experience coordinating cross-functional teams and developing governance structures
• Solid technical understanding of work planning tools (e.g. JIRA), CI/CD pipelines, source control (e.g., Git), and deployment automation tools (e.g., Jenkins, Azure DevOps, GitHub CI/CD).

Preferred

• Familiarity with cloud environments (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes)
• Familiarity with Observability platforms such as Datadog and Splunk
• ITIL Foundation or similar certification
• Working knowledge of Scaled Agile Framework and practices such as PI Planning
• Experience in regulated or large enterprise environments
• Experience working with ServiceNow for change management, CMDB and other functions

#LI-TH3,  #LI-ONSITE

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

The Impact You’ll Be Contributing to Moloco: 

• We're seeking a software engineer to help us design, develop and maintain the backend of our state of the art Moloco Commerce Media (MCM) product
• You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry
• You will play a pivotal role building and developing our enterprise-ready solution. We’ve determined clear market fit and are now seeking senior and staff engineers to refine the MCM product
• You will lead feature development, design, optimization, testing, and maintenance of software applications and solutions for internal and external end users
• You will mentor others on the team and have the opportunity to lead high-impact projects

The Opportunity: 

• Build and maintain core APIs for the ad campaign lifecycle in MCM: create, target, budget, bid, pace, pause, and approve.
• Deploy reporting and analytics APIs that provide answers to spend, performance, and attribution questions in near real-time and batch.
• Integrate billing and invoicing flows from start to finish: spend tracking, invoice generation, and multi-currency support.
• Design services that remain fast and reliable at scale.
• Collaborate with PM, data science, and partner teams to turn goals into clear milestones and documentation.
• Operate what you build: dashboards, alerts, runbooks, and an on-call rotation that is healthy and respectful.
• Mentor other engineers through code reviews, pairing, and technical design discussions.
• Explore and prototype next-generation features such as advanced ad performance analytics and creative-level reporting across millions of campaign items.

How Do I Know if the Role is Right For Me? 

• 5+ years of software engineering experience using one or more modern languages such as Go, Java, Python 
• Experience with enterprise SaaS applications
• Outstanding problem-solving skills and a passion for delivering high-quality, innovative solutions
• Interest and experience in platforms in the advertising or e-commerce domains
• Experience working with large-scale distributed systems
• System design and development skills; from gathering requirements to design to implementation to production
• Experience in Cloud/Big Data platforms (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.) 
• Programming fundamentals, testing, and common algorithms and structures
• Strong analytical troubleshooting skills
• Growth mindset, with a passion for staying updated on emerging technologies and industry trends, and a willingness to share knowledge and mentor others
• Excellent communication and collaboration skills

The Impact You’ll Be Contributing to Moloco

• You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry.
• You will play a pivotal role designing, developing and optimizing the data infrastructure and pipelines to build robust and scalable solutions that power Moloco’s data-driven products.
• You will mentor others on the team and have the opportunity to lead high impact projects.

The Opportunity

• Design and develop complex data pipelines and ETL processes for manipulating and managing big data.
• Improve cost effectiveness of data pipelines, storage, and databases, both independently and in collaboration with cross-functional teams.
• Design and implement data quality and governance processes to ensure data accuracy, consistency, and compliance.
• Enhance system scalability, availability, and performance across Moloco Commerce Media’s data infrastructure.
• Develop internal tools to boost developer productivity and system efficiency.
• Participate in cross-functional projects and initiatives, providing technical expertise and guidance.
• Collaborate with teams such as Infrastructure, Machine Learning, Data Science, Analytics, and Production to build the best ad platform.
• Tech lead a small team to contribute to high-impact projects.

How Do I Know if the Role is Right For Me?

• Bring 6+ years of software engineering experience using modern languages such as Java, C#, Go, C++, Python, and foundational SQL knowledge, with proficiency in SQL or NoSQL database technologies.
• Demonstrate experience with computer systems architecture, operating systems, or distributed systems.
• Possess extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) or equivalent on-premise systems.
• Apply strong programming fundamentals, testing practices, and knowledge of common algorithms and data structures.
• Exhibit system design and development skills, especially in large-scale environments.
• Work with at least one of the following: data modeling, analytics, data management, or big data processing/MapReduce.
• Display strong analytical and troubleshooting skills in ambiguous or evolving environments.
• Maintain a growth mindset, staying updated on emerging technologies and industry trends, and sharing knowledge with others.
• Communicate and collaborate effectively across teams.
• Deep, hands-on experience in ads infrastructure (bidding, pacing, budget optimization, or measurement) at large revenue scale a plus. 

Expression of Interest

We know that for the most talented engineers, the right opportunity is about more than just a job title, it’s about the right challenge at the right time. Even if our current openings don't perfectly fit your timing and interests today, we still want to hear from you. We view this as a priority pathway to connect with curious, driven MLEs whose unique expertise can help us architect the next generation of planet-scale ML systems. 

At Moloco, our mission is to empower the global digital economy by turning massive first-party data into measurable business outcomes. Whether it’s optimizing real-time bidding for Moloco Ads or building AI-native stacks for Streaming and Commerce, we’re looking for engineers to help us lead the shift toward a more performance-driven, AI-powered internet.

If you’re excited to scale and innovate in a fast-moving environment, share your profile and we will reach out the moment we see a potential match for your experiences and future goals.

About the Role

As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.

The Opportunity

• Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.
• Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.
• Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.
• Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.
• Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.
• Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.
• Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.
• Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.
• Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.
• Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.

Expertise We Value:

MLEs at Moloco are hands-on builders of some of the world’s highest-scale ML workloads. They bridge technical innovation with global revenue outcomes, owning the critical systems that define our next generation of machine learning and optimization platforms.

While every journey is unique, we find that the most successful MLEs at Moloco bring a deep technical foundation in the following areas:

• Production ML at Scale: 5-12+ years of experience delivering ML solutions in high-stakes production environments (e.g., Ads, Recommenders, Search, or Marketplaces), with a track record of scaling models for massive throughput and low-latency requirements.
• Algorithmic Mastery: A strong foundation in ML and statistics applied to real-world business challenges, with expertise in areas such as ranking, calibration, exploration-exploitation, causal inference, or multi‑objective optimization.
• Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
• Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale.
• Operational Stewardship: Experience ensuring the long-term health of ML systems in live environments—monitoring performance, diagnosing drift, and iterating based on real-world feedback to maintain measurable impact.
• Technical Mentorship: A passion for advancing the team’s collective bar by sharing best practices for large-scale ML systems and guiding the technical direction of complex machine learning initiatives.

Our Tech Stack:

• Languages: Python, Go, C++
• ML Frameworks: TensorFlow, PyTorch, JAX
• Infrastructure: GCP, AWS, Kubernetes, Spark, BigQuery, BigTable

How You Work: 

• Your ethos is ownership
• You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
• You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
• You demonstrate strong judgment under uncertainty. 
• You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
• You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
• You lead through clarity and active listening. 
• You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions. 
• You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
• You collaborate early, instead of solving in isolation.
• You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope. 
• You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
• You fall in love with the problem, not the solution
• You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem. 
• When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
• You prioritize customer impact and take action to make it real.
• You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook. 
• You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.

You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.

The Impact You’ll Be Contributing to Moloco:

• We're seeking a software engineer to help us design, develop and maintain the backend of our state of the art Moloco Commerce Media (MCM) product
• You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry
• You will play a pivotal role building and developing our enterprise-ready solution. We’ve determined clear market fit and are now seeking senior and staff engineers to refine the MCM product
• You will lead feature development, design, optimization, testing, and maintenance of software applications and solutions for internal and external end users
• You will mentor others on the team and have the opportunity to lead high-impact projects

The Opportunity:

• Design and ship agentic software that helps advertisers manage campaigns through natural language interfaces and intelligent automation
• Build customer-facing applications that combine LLM capabilities with robust backend systems—from conversational campaign creation to AI-assisted performance insights
• Own the full stack: React/TypeScript frontends, Go/Python/Java services, and the infrastructure that connects them
• Collaborate closely with PM, data science, and partner teams to shape product direction and turn ambiguous goals into shipped features
• Operate what you build: dashboards, alerts, runbooks, and a sustainable on-call rotation
• Mentor engineers through code reviews, pairing, and design discussions
• Prototype and explore what's next—advanced analytics, creative-level reporting, and AI capabilities we haven't imagined yet

How Do I Know if the Role is Right For Me?

• 5+ years of software engineering experience
• Full-stack development experience—you're comfortable across the frontend, backend, and the glue in between
• Hands-on experience building LLM-based applications (agents, tool use, prompt engineering, or similar)
• System design and development skills; from gathering requirements to design to implementation to production
• Experience in Cloud/Big Data platforms (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.)
• Programming fundamentals, testing, and common algorithms and structures
• Track record of shipping customer-facing products
• Growth mindset—you stay current on emerging technologies and enjoy sharing knowledge with others
• Excellent communication and collaboration skills

The Impact You’ll Be Contributing to Moloco:

We are seeking a Senior Security Engineer to strengthen the security posture of our cloud infrastructure and applications. This role is critical to proactively identifying and reducing risk, automating security controls, and ensuring Moloco’s platforms remain secure, resilient, and compliant as the business scales.

The Opportunity:

As a Senior Security Engineer, you will partner closely with DevOps, platform, and application teams to embed security into day-to-day engineering workflows. You will help shift security left, reduce operational risk, and enable teams to move fast without compromising security.

1. Integrated Security: Embeds automated security testing (SAST/DAST) into CI/CD pipelines to identify vulnerabilities early.
2. Secure Infrastructure: Implements safeguards across infrastructure-as-code, containers, and cloud environments to minimize risk from misconfigurations or unintended use.
3. Threat Management: Automates vulnerability scans and real-time threat responses to reduce risks. Participate in security triage and vulnerability management process. 
4. Compliance: Ensures adherence to standards like SOC 2 or GDPR within DevOps processes.
5. Efficiency: Automates manual security tasks, accelerates development, and reduces delays caused by late-stage fixes.
6. Resilience: Builds robust defenses against evolving threats with incident response playbooks and threat intelligence.

How Do I Know if the Role is Right For Me?

Minimum Requirements:

• 5+ years of experience as a Security Engineer or in a similar role with a strong foundation in CI/CD, automation, and cloud infrastructure
• Strong understanding of cloud security principles (AWS, GCP, or Azure)
• Experience securing CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, Harness)
• Familiarity with infrastructure-as-code and related security tools
• Proficiency in scripting languages (Python, Bash, etc)
• Hands-on experience with container security (e.g., Docker image scanning, Kubernetes best practices)
• Knowledge of IAM, secrets management, and secure key handling
• Experience with vulnerability scanning, remediation workflows, and risk prioritization.
• Ability to identify and mitigate misconfigurations in cloud and IaC environments
• Comfortable collaborating with DevOps, platform, and application teams

Preferred Qualifications:

• Familiarity with compliance frameworks (SOC 2, ISO 27001, NIST, etc.)
• Experience with security monitoring and incident response processes
• Exposure to SIEM or EDR tools (e.g., Splunk, CrowdStrike, Google SecOps)
• Experience with SAST/DAST and dependency scanning tools
• Familiarity with zero-trust networking concepts
• Knowledge of threat modeling and risk assessment practices

The Impact You’ll Be Contributing to Moloco:

Moloco Commerce Media (MCM) is growing its engineering team to support our expanding number of customers with engineering rigor and efficiency. We are looking for an experienced engineer, who can both lead complicated feature developments from end to end and can provide deep technological consultations both to customers and our business team members alike. Our systems will need to be supported at a global scale handling billions of ad auctions per day, while our cutting-edge machine learning (ML) delivers high performance for advertisers and quality experiences for retail shoppers. The Ad Serving team in MCM engineering is responsible for the foundational systems underlying this platform, closely collaborating with campaign management, data infrastructure, and customer integrations.

The Opportunity:

• Design, develop and operate an end-to-end enterprise platform that remains fast, reliable and secure at scale.
• Build and maintain APIs and features for ad serving, while shaping the technical roadmap for the future of the product.
• Provide technical leadership and guidance for both internal/external engineering teams and cross functional business teams.
• Directly engage with customers to identify gaps, translate real world needs into engineering solutions, and deliver outcomes including legacy platform migrations, data connectors, bespoke features, workflows and analytics.
• Contribute to the strategic vision of the platform, strongly influencing technical decisions and long-term architecture.
• Explore and prototype next generation features including those enabled by generative AI.

How Do I Know if the Role is Right For Me?

• 7+ years software development experience using one or more modern languages such as Java, C++, Go, and Python.
• 2+ years of leadership experience in delivering technical projects with a small (3+) team of engineers. 
• Hands-on experience with large-scale distributed systems, from requirements gathering and design to implementation and production deployment.
• Experience in building platforms for digital advertising or e-commerce applications.
• Experience with cloud-based technologies (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.)
• Experience working directly with customers having varying levels of technical knowledge, and translating their ambiguous requirements into actionable roadmaps and technical solutions.
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
• Strong interpersonal and communication skills, with the ability to build and maintain cross-functional and customer relationships.
• Willingness to travel as needed (up to 15% travel).
• Communication proficiency, capable of elaborating engineering concepts and product features in detail even to non-technical audiences.

The Opportunity:

• Be the connective tissue across the organization to keep engineering, product, leadership, and stakeholders aligned on priorities, schedule, risks, and progress.
• Own and drive cross-team initiatives from conception to completion.
• Create and manage cross-team roadmaps, schedule, risks, and issues.
• Own security, privacy, compliance, and operational excellence initiatives.
• Establish scalable, repeatable, and efficient processes and schedules.
• Be a force multiplier by continually improving engineering, product, and operational efficiency across the organization.
• Help grow the TPM function.

Who We’re Looking For:

• You love working on technical initiatives to build and manage large cloud infrastructure.
• You don’t just work with engineering, you’re embedded into the team, shepherding their programs end-to-end.
• You have worked with big cloud players like GCP, AWS, OCI, Azure, etc.

How Do I Know if the Role is Right For Me?

• Experience working with senior leadership, including C-level leaders.
• Excellent oral and written communication skills
• Ability to effectively collaborate and drive consensus with all levels and teams across the company.
• Integral contributor to the development and operational readiness of large scale cloud products.
• Experience managing projects, risks, and dependencies with Product, Engineering, GTM, and cross-functional teams.
• Experience building scalable, sustainable processes and coordinating release schedules across multiple organizations.
• Experience in agile software development methodologies including deploying best practices and SDLC processes.
• 5+ years of technical program management or engineering management experience.
• 7+ years of experience working directly with software, cloud, or data engineering teams.
• Bachelor's degree in computer science, engineering or a related technical discipline.

Preferred Experience:

• Prior experience in ML Infra and Adtech
• Experience with Multi Cloud infrastructure 
• Passionate for learning about technologies and products

Seeking talent neat: Princeton, NJ ; San Diego, CA

Position Summary:

In support of clinical development programs, the Director of Clinical Trial Materials role oversees Clinical Trial Material (CTM) planning and execution activities, supporting Phase 1-IV and IIS trials. Includes demand forecasting, determination of an appropriate presentation, setting production schedules, protocol review, ensures label compliance with applicable regulations, establishes optimal packaging & distribution strategies, tracks and reconciles drug supplies and monitors product re-test dates. Interface with internal departments and contract research organizations (CROs) as necessary to coordinate the execution of these activities.  Implements and ensures group compliance to procedures for the production and distribution of investigation product. Mentor junior colleagues in the CTM team as required. 

Primary Responsibilities:

• Review and Interpretation of a clinical protocol or study overview:
  • Review and provide feedback during the development of the clinical protocol.
  • Calculate total demand and translation of total demand into a demand forecast.
  • Interface with Project Managers to develop clinical supply timelines, obtain study overviews and drug requirements, and initiate procurement procedures.
  • Periodically reviews and updates inventories including all supply related information such as lot numbers, current status, and kit genealogy and expiration date extension.
  • Tracks expired materials and issues orders for retrieval or disposal.
  • Be proficient with current inventory and tracking systems by learning their usage, updates and maintenance.
  • Proposes and implements improvements to assure efficient clinical supply operations.
  • Investigates and resolves issues regarding inventory, shipments and returns.
  • Responsible for end to end, full CTM lifecycle, ensures that all clinical trials have timely and an un-interrupted supply of CTM.
• Coordinates CTM activities with Clinical Supply Packagers and Distributors, Technical Services, Clinical R&D staff, Project Teams, IT/IS, Data Management, CROs and other sites and departments as necessary
• Develops and maintains CTM documentation necessary to support company policies, procedures and all regulatory guidelines
• Works with Clinical, Regulatory and Quality teams in preparing label text, obtaining translations and approval of label proofs
• Prepares and reviews applicable contracts, project statements, change orders, packaging requests, and batch records for accuracy and completeness
• Reconciles and approves invoices
• Prepares reports to ensure accuracy and completeness of clinical supplies information.  Maintains departmental reports and files, updates SOPs and other projects as assigned

Education/Experience/Skills

• Minimum Bachelor of Science degree (BS) in Health Science (preferred Master of Science degree). Equivalent combination of relevant education and applicable job experience may be considered with at least 4-6 years of experience in pharmaceutical development focused on clinical trial materials
• The individual must be well versed in GXPs (GMP, GCP, and GDP) and as well as other regulatory requirements as they pertain to investigational products
• Proven project management skills
• Ability to handle multiple projects simultaneously
• Good understanding of GMP working environments and regulatory guidance and regulations (e.g. ICH, 21 CFR Part 11)
• Good understanding of IRT system build-up and user testing
• Good negotiating skills with customers and suppliers
• Hands on training and experience in clinical trial methodology and Good Clinical Practice
• Good organizational and documentation skills
• Demonstrated track record of ability to self-direct and resolve issues with the vendors, CRO staff and internal teams
• Excellent written and verbal communication skills
• Skilled at clearly conveying in-depth knowledge to all levels within, and outside of, the organization
• Skilled at creating a cooperative team environment
• Able to objectively evaluate situations and make recommendations for changes in light of overall project demands

Physical Requirements:

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID #NC1

Company Overview

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly log in across websites without needing to create a new login and re-verify. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me.

Role Overview

ID.me is seeking a Staff Data Engineer (SDE-V) to lead the design, build, and operation of the core data infrastructure that underpins our identity platform. This engineer will be responsible for ensuring the reliability, scalability, and performance of the systems that move, process, and store data across the company.

In this role, you’ll own and operate key data infrastructure components — including event streaming platforms, relational databases, and batch processing systems — while driving automation and engineering best practices that improve data platform reliability and developer efficiency. You’ll partner closely with Platform Engineering, Site Reliability Engineering, and Compliance teams to ensure ID.me’s data ecosystem meets demanding operational, security, and regulatory requirements.

This is a hands-on technical leadership role for a data infrastructure engineer who thrives at the intersection of distributed systems, platform engineering, and data operations.

This role is based out of our Mountain View, CA or McLean, VA offices and requires full-time in-office attendance.

Responsibilities

• Own and operate core data infrastructure, including event streaming, relational database, and batch processing platforms.
• Design and implement highly reliable, observable, and scalable data systems that enable real-time and batch data processing.
• Develop automation and guardrails for data governance, retention, and compliance, ensuring auditability and consistency across services.
• Partner with application, platform, and SRE teams to improve data access patterns, reliability SLAs, and recovery processes.
• Establish standards for data infrastructure monitoring, alerting, and capacity planning, ensuring proactive issue detection.
• Drive operational excellence by improving resilience, reducing toil, and implementing self-healing or automated recovery mechanisms.
• Evolve and optimize data pipelines that support downstream analytics, identity verification, and machine learning systems.
• Evaluate, implement, and operate event-driven and batch data platforms such as Kafka, Google Pub/Sub, Dataflow, or Temporal.
• Lead incident response and root cause analysis for production data systems, contributing to postmortems and platform improvements.
• Mentor engineers and advocate for reliability-focused engineering culture across teams.
• Data lake architecture — Design and build the data lake storage and compute topology (object storage, partitioning, lifecycle, tiering) to support batch and streaming workloads.

Minimum Qualifications

• Bachelor’s or Graduate degree in Computer Science, Software Engineering, or a related technical field.
• 8+ years of professional experience in data engineering, software engineering, or distributed systems development.
• 6+ years of programming experience in one or more languages such as Go, Python, or Java, with emphasis on automation and data system integration.

Preferred Qualifications

• Deep expertise in building and operating data systems—including relational databases, streaming, and batch platforms—in production environments.
• Hands-on experience administering and optimizing PostgreSQL or other relational databases in the cloud (AWS RDS, CloudSQL, or AlloyDB).
• Solid understanding of reliability engineering principles, including observability, SLOs, capacity management, and operational readiness.
• Experience managing cloud infrastructure (AWS or GCP) using infrastructure-as-code tools like Terraform, Kubernetes, or Helm.
• Experience operating event streaming platforms such as Kafka or Google Pub/Sub.
• Experience with batch and stream processing systems, including Dataflow, Temporal, or Airflow.
• Strong knowledge of data pipeline orchestration, change data capture, and schema management.
• Background in automation, incident response, and data platform observability.
• Familiarity with data governance and regulatory compliance frameworks (e.g., FedRAMP, GDPR, NIST).
• Contributions to open-source data infrastructure projects or strong community engagement in the data reliability space.
• Passion for performance engineering, system design, and mentoring others to deliver operational excellence at scale.
• AI-assisted development — Demonstrable experience using AI developer tools (e.g., code generation, test generation, query synthesis) to accelerate platform automation while validating outputs through code review and tests.
• Data-aware LLM usage — Ability to safely use large language models for tasks such as SQL generation, data lineage summarization, and runbook drafting while ensuring no sensitive data is exposed to external models and all prompts and outputs are logged for audit.

Company Overview
ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly log in across websites without needing to create a new login and re-verify. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me.

Role Overview
We are seeking a Site Reliability Engineer to join our Core Platform Engineering organization. The SRE team builds the automation, observability, and operational foundations that ensure ID.me’s services are reliable, scalable, and secure. 

As an SRE, you will play a pivotal role in building the platform and governance processes required to safely scale, deploy, and operate a high volume of machine-generated applications and features. You will design and implement the automated guardrails that maintain our high standards for resilience and security in an AI-accelerated development environment. You’ll focus on infrastructure automation, observability, performance optimization, and incident response, partnering closely with Software Engineering teams to foster a culture of reliability and operational excellence.

This role is based out of our Mountain View, CA or McLean, VA offices and requires full-time in-office attendance, 5 days per week.

Responsibilities

• Build and maintain automated reliability tooling, infrastructure as code, and observability systems that enhance uptime and service performance.
• Develop monitoring, logging, and alerting frameworks (e.g., Prometheus, Grafana, OpenTelemetry) to detect and remediate issues proactively.
• Implement automated architectural reviews and reliability guardrails for agent-developed applications to ensure machine-generated code meets long-term maintainability and performance standards.
• Partner with engineering teams to design and implement scalable, fault-tolerant systems that meet defined SLIs and SLOs.
• Automate repetitive operational tasks and develop self-healing and auto-remediation mechanisms to minimize human intervention.
• Participate in on-call rotations and lead incident response efforts, performing post-incident reviews and driving systemic improvements.
• Improve the deployment and release process using CI/CD pipelines and progressive delivery techniques to ensure stability and safety.
• Champion observability, reliability, and operational readiness reviews as part of the development process.
• Collaborate with Security and Compliance teams to ensure production systems meet FedRAMP, NIST, and internal policy requirements.
• Contribute to documentation, runbooks, and internal tooling to enhance knowledge sharing and operational maturity across teams.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.
• 3-5 years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering.
• 2+ years of hands-on experience managing and scaling services in cloud environments such as AWS, GCP, or Azure.
• 1+ years proficiency in at least one modern programming language (e.g., Java, Go, Python, Ruby, JavaScript).

Preferred Qualifications

• Strong understanding of containerization and orchestration technologies (Docker, Kubernetes).
• Experience implementing and maintaining CI/CD pipelines and automation frameworks.
• Working knowledge of observability systems—metrics, tracing, logging, and alerting.
• Experience building automated recovery, failover, or chaos-engineering systems to validate reliability.
• Familiarity with event-driven architecture and asynchronous processing systems.
• Knowledge of distributed systems design, load balancing, and performance optimization.
• Exposure to infrastructure-as-code tools (Terraform, Pulumi, Ansible) and GitOps practices.
• Understanding of security and compliance frameworks (FedRAMP, SOC2, or NIST 800-53).
• Strong analytical and troubleshooting skills across the stack—from network to application layer.
• Excellent communication and documentation skills, with a focus on cross-team collaboration and continuous improvement.
• Experience using AI agentic coding assistants and deploying custom AI agents or automated workflows into production environments.

Role Overview

The Staff Site Reliability Engineer, Infrastructure role is building a high-scale infrastructure team responsible for owning environments with thousands of nodes. Candidates must have experience operating at this scale and leading infrastructure through significant transformation—especially moving from monoliths to scalable microservices and platform/API architectures.

Our current team is shifting from reactive support to proactive engineering. Our product demands reliability and we need someone who understands what that truly means. You’ll help unify a complex infrastructure stack, build systems that guide application teams toward best practices, and drive cross-functional efforts across product, app, and integration teams.

If you've led large-scale growth, know how to turn infrastructure chaos into scalable systems, and can show others what "good" looks like—we want to talk.

The position will work from our Mountain View, CA office five days per week.

Responsibilities

• Execute on the transformation from monolith to scalable microservices (API/Platform focus).
• Drive initiatives to continually improve reliability, with a deep understanding of the implications of each “9.”
• Architect systems and write code that enables application teams to adopt best practices by default—not by instruction.
• Integrate and unify diverse infrastructure components into a cohesive, scalable platform within a massive tech stack.
• Design observability, reliability, and CI/CD frameworks to support growth and operational excellence at scale.
• Collaborate cross-functionally with product, application, and integration teams to align infrastructure direction with business goals.
• Provide technical leadership to shift the team from reactive support to a proactive, strategic function.
• Mentor and guide a team of 6 engineers while shaping the direction of infrastructure engineering.

Minimum Qualifications 

• Bachelor's degree in Computer Science or related field of study.
• At least 10 years of hands-on coding experience in building internal platforms/tools to support developer experience and operational best practices.
• At least 5 years of experience in cloud platforms—GCP preferred, AWS acceptable; cloud engineering background required.

Preferred Qualifications

• Proven experience scaling infrastructure in environments with many thousands of nodes. 
• Track record of leading architectural shifts from monolithic systems to microservices in large-scale environments.
• Deep knowledge of reliability engineering and high-availability systems; able to articulate the impact of increasing the number of 9s. 
• Strong understanding of first-party infrastructure integration and unifying disparate systems.
• Familiarity with observability, CI/CD tooling, and infrastructure automation.
• Experience at large-scale tech companies (Google, Meta, Amazon, etc.) or equivalent environments highly preferred.
• Strong cross-functional collaboration skills and the ability to drive infrastructure alignment across engineering orgs.

Position: Vendor & Budget Manager, Clinical Operations

Location: South San Francisco, CA

Opportunity:

Epicrispr Biotechnologies is seeking a Vendor and Budget Manager to join our growing Clinical Operations team. This role will play a critical part in overseeing vendor relationships, contracts, and budgets to support the successful execution of our clinical programs. This is a highly cross-functional role partnering closely with Clinical Operations, Finance, Legal, and external vendors to ensure studies are executed efficiently and in alignment with timelines, scope, and budget.

Roles and Responsibilities:

• Primary administrative point of contact for vendor coordination and communications, ensuring alignment with study priorities defined by Clinical Operations.
• Handle logistical setup of new vendors including coordinating contract reviews with internal stakeholders and legal and budget negotiation, in alignment with study scope and requirements defined by Clinical Operations.
• Manage all existing clinical vendors, requiring contract oversight and coordination with legal and internal teams, budget and PO oversight alongside internal finance and accounting, while partnering with the CTM and other Clinical Operations team members to ensure vendor deliverables align with study needs.
• Oversee site master budgets and ensure alignment with protocol updates, in coordination with CTM and Clin Ops priorities.
• Approve vendor invoices and budgets, including pass throughs from CRO, ensuring consistency with agreed scopes of work and escalation of discrepancies as needed.
• Support CMO, CTM, and Clinical Operations Lead with review of budget reporting from CRO alongside finance and accounting team.
• Track vendor performance, deliverables, contractual obligations, and escalate risks or delays to the Clinical Operations Lead.

Requirements:

• Bachelor’s degree in life sciences, business, or related field required
• Typically 5+ years of experience in clinical operations, vendor management, or clinical trial management within biotech, pharma, or CRO environments
• Strong understanding of clinical trial processes, vendor oversight, and GCP/ICH guidelines
• Experience managing contracts, budgets, and vendor relationships across multiple studies or programs
• Familiarity with CRO models, pass-through costs, and financial tracking processes
• Excellent organizational and project management skills with strong attention to detail
• Strong communication and stakeholder management skills, with the ability to work cross-functionally
• Ability to manage multiple priorities in a fast-paced, evolving environment
• Proficiency with clinical systems (e.g., CTMS, eTMF) and financial tracking tools preferred

Compensation: The salary range for this position is $135,000 to $145,000 USD annually. This salary range is an estimate, and the actual salary may vary based on various factors, including, without limitation, individual education, experience, tenure, skills, and abilities, as well as internal equity and alignment with market data, including potential adjustments for geographic location. 

OVERVIEW

We are seeking a Senior Director to lead Data Analytics (Digital), Data Science, and Artificial Intelligence, as a unified strategic capability. This role sits at the intersection of business insight, advanced analytics, and applied AI. You will shape how data and intelligence drive decisions, experiences, and operational excellence across the company—especially in marketing and digital and customer engagement. 

This leader is both a strategist and a builder: setting vision, developing talent, and ensuring measurable impact, while staying close enough to the work to guide technical direction and architectural choices. 

RESPONSIBILITIES  

• Set the vision and roadmap for Data Science, AI, and Digital Analytics, aligned to business priorities and growth strategy. 

• Lead and scale high-performing teams across data science, applied AI/ML, experimentation, and digital analytics. 

• Drive advanced analytics and AI use cases including personalization, forecasting, optimization, experimentation, generative AI, and decision intelligence. 

• Own digital analytics strategy—ensuring accurate, trusted measurement across web, mobile, and emerging digital experiences, and translating signals into action. 

• Bridge insight to execution by partnering closely with product, marketing, engineering, operations, and executive leadership. 

• Evaluate and govern AI platforms and tooling, balancing build vs. buy decisions, cost, scalability, and long-term flexibility. 

• Establish responsible AI and data practices, including model governance, experimentation standards, and measurement of business impact. 

• Tell compelling data stories—turning complex analyses and models into clear narratives that drive confident decisions at the executive level. 

QUALIFICATIONS

• A seasoned leader with deep experience in data science and applied AI, and a strong grasp of modern analytics ecosystems. 

• Comfortable operating at multiple altitudes—from board-level strategy to hands-on technical guidance. 

• Experienced in product and digital analytics, experimentation frameworks, attribution, and customer behavior analysis. 

• Fluent in ML concepts and architectures (predictive models, NLP, recommendation systems, generative AI) and how they create real business value. 

• Adept at building teams, culture, and operating models that scale across functions and geographies. 

• Pragmatic, impact-driven, and allergic to vanity metrics.  

• 12+ years in analytics, data science, or AI, with significant leadership experience. 

• Strong foundation in statistics, machine learning, and experimentation. 

• Experience in retail, e-commerce, consumer products, or digital platforms. 

• Experience with cloud data and AI platforms (AWS, GCP, Azure) and modern analytics stacks. 
• Proven track record of driving measurable outcomes through data and AI initiatives. 
• Exposure to generative AI at scale and AI-enabled product development. 

• Prior ownership of company-wide analytics standards or AI governance. 

The base salary range for this position is $250,000-$320,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.