Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Your Role:
Tenable is seeking a Full Stack Software Engineer to join our core product engineering teams. You will help design, develop, and maintain cloud-native, large-scale cybersecurity products that protect organizations worldwide. Our platforms operate in complex, ever-changing environments and demand innovation in scalability, reliability, and performance. As a Software Engineer, you will work across the stack , building microservices, APIs, and user interfaces , leveraging modern frameworks and cloud technologies. Your contributions will directly enable customers to secure their applications, infrastructure, and digital assets at scale.

Your Opportunity:

• Implement new features, fix bugs, and enhance the scalability and reliability of our systems.
• Develop expertise in distributed systems, cloud platforms, and modern UI frameworks while working on real-world security products.
• Work closely with Product Managers, UX designers, and fellow engineers to iteratively improve our products.
• Contribute ideas to improve Tenable’s architecture, development processes, and technology stack.
• Write clean, maintainable code, participate in code reviews, and help drive engineering best practices.

What You’ll Need:

• 2+ years of experience as a Full Stack Software Engineer in SaaS or cloud-based applications.
• Hands-on development experience with Java or Kotlin.
• Proficiency with at least one modern UI framework (React, Angular, or Vue.js).
• Solid understanding of RESTful API development and microservices architectures.
• Familiarity with AWS or other cloud platforms.
• Experience with databases (SQL or NoSQL such as PostgreSQL, DynamoDB, Elasticsearch).
• Exposure to CI/CD pipelines, containerization (Docker/Kubernetes), and Git-based workflows.
• Strong problem-solving skills with a focus on building reliable, performant, and secure applications.
• Good communication skills and a collaborative mindset.
• Passion for continuous learning and keeping up with emerging technologies.

And Ideally:

• Experience with event-driven systems (Kafka, SQS, SNS, etc).
• Familiarity with infrastructure-as-code and observability tools (Terraform, Prometheus, Datadog, ELK, Splunk, PagerDuty).
• Prior experience in cybersecurity, DevSecOps, or related domains.
• Exposure to multi-tenant SaaS or hybrid cloud architectures.

#LI-MS1

Recorded Future is seeking an experienced Senior Engineering Manager to lead a diverse team of engineers building one of the world’s most comprehensive global internet scanning platforms. As a Senior Engineering Manager, you will oversee multiple established teams and functions, including:

• Scan Engine Development – Our proprietary network scanning engine that operates on a global scale to collect intelligence insights from everything on the internet, supported by a cross-functional team of software engineers and operations specialists
• Vulnerability and Signature Research – Our team of vulnerability researchers working in coordination with internal intelligence functions to develop unique detections and signatures that power the scan engine
• Scan Operations and Site Reliability – Our team responsible for the operational health, scale, and reliability of the platform, ensuring intelligence is generated and delivered continuously to support teams and clients across the organization

What You'll Do:

• Team Leadership: Lead and mentor a multi-disciplinary team of vulnerability researchers, scan operations engineers, and software engineers across multiple geographies, fostering a collaborative, high-performing, and inclusive environment. Provide technical leadership by guiding development efforts, setting direction, and coaching engineers to grow their careers while maintaining a high engineering bar.
• Cross-Team Coordination: Partner closely with engineering leadership, product managers, and stakeholders across the broader organization — including teams from recently integrated business units — to align on scope, timelines, and solution designs that serve the full breadth of Recorded Future’s needs. Effectively communicate and advocate technical solutions to product, engineering, and business audiences.
• Engineering Excellence: Drive the continuous improvement of engineering practices, processes, and tools to increase efficiency and product quality. Ensure teams design, develop, and deploy features with a focus on high availability, quality, low latency, and scalability.
• Project Management: Oversee the planning, execution, and delivery of product features and updates, ensuring alignment with company goals and timelines.
• Agile Practices: Implement and maintain agile methodologies for project tracking and documentation.
• AI-First Development: Champion an AI-first engineering culture across your teams, encouraging the adoption of AI tools, workflows, and practices in day-to-day development. You should be comfortable guiding your team in its application and aligned with Recorded Future’s broader commitment to AI-driven engineering.

What You'll Bring:

• At least 10 years of experience in software engineering, ideally in an Enterprise SaaS product.
• At least 4 years in a management or leadership role, ideally overseeing multiple functions with remote teams in different timezones.
• Meaningful hands-on software engineering experience, ideally including familiarity with languages such as Python, Go, or C. You don’t need to be actively coding day-to-day, but you should be able to engage credibly with engineers on technical decisions and hold the team to a high engineering bar.
• Background in or strong familiarity with low-level, network-heavy applications with a focus on high-volume traffic, availability, and global scale is highly desirable, despite this role being primarily managerial.
• Familiarity with key technologies such as message busses/queues (Kafka, Rabbit, etc.), containerization (Docker, Kubernetes, etc.)
• Extensive familiarity with the TCP/IP protocol stack, including application of concepts from DNS, WHOIS, and other artifacts needed for technical reconnaissance and discovery
• Comfort with AI development concepts and a genuine enthusiasm for guiding teams to incorporate AI into their workflows and understanding its practical applications in software development
• Experience in technical leadership such as leading project teams' development efforts and setting technical direction
• A passion for coaching others to grow their technology career and sharing good practices with more junior engineers
• Excellent verbal and written communication skills
• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or equivalent education/work experience

Preferred Qualifications:

• Any familiarity with cybersecurity principles and the unique challenges of developing cybersecurity products
• Any familiarity with things like port scanning, vulnerability scanning, or signature development
• Any familiarity with enterprise security products related to Recorded Future’s offerings

The base salary range for this full-time position is $199,000-$278,000. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Recorded Future is seeking an experienced Senior Engineering Manager to lead a diverse team of engineers building one of the world’s most comprehensive global internet scanning platforms. As a Senior Engineering Manager, you will oversee multiple established teams and functions, including:

• Scan Engine Development – Our proprietary network scanning engine that operates on a global scale to collect intelligence insights from everything on the internet, supported by a cross-functional team of software engineers and operations specialists
• Vulnerability and Signature Research – Our team of vulnerability researchers working in coordination with internal intelligence functions to develop unique detections and signatures that power the scan engine
• Scan Operations and Site Reliability – Our team responsible for the operational health, scale, and reliability of the platform, ensuring intelligence is generated and delivered continuously to support teams and clients across the organization

What You'll Do:

• Team Leadership: Lead and mentor a multi-disciplinary team of vulnerability researchers, scan operations engineers, and software engineers across multiple geographies, fostering a collaborative, high-performing, and inclusive environment. Provide technical leadership by guiding development efforts, setting direction, and coaching engineers to grow their careers while maintaining a high engineering bar.
• Cross-Team Coordination: Partner closely with engineering leadership, product managers, and stakeholders across the broader organization — including teams from recently integrated business units — to align on scope, timelines, and solution designs that serve the full breadth of Recorded Future’s needs. Effectively communicate and advocate technical solutions to product, engineering, and business audiences.
• Engineering Excellence: Drive the continuous improvement of engineering practices, processes, and tools to increase efficiency and product quality. Ensure teams design, develop, and deploy features with a focus on high availability, quality, low latency, and scalability.
• Project Management: Oversee the planning, execution, and delivery of product features and updates, ensuring alignment with company goals and timelines.
• Agile Practices: Implement and maintain agile methodologies for project tracking and documentation.
• AI-First Development: Champion an AI-first engineering culture across your teams, encouraging the adoption of AI tools, workflows, and practices in day-to-day development. You should be comfortable guiding your team in its application and aligned with Recorded Future’s broader commitment to AI-driven engineering.

What You'll Bring:

• At least 10 years of experience in software engineering, ideally in an Enterprise SaaS product.
• At least 4 years in a management or leadership role, ideally overseeing multiple functions with remote teams in different timezones.
• Meaningful hands-on software engineering experience, ideally including familiarity with languages such as Python, Go, or C. You don’t need to be actively coding day-to-day, but you should be able to engage credibly with engineers on technical decisions and hold the team to a high engineering bar.
• Background in or strong familiarity with low-level, network-heavy applications with a focus on high-volume traffic, availability, and global scale is highly desirable, despite this role being primarily managerial.
• Familiarity with key technologies such as message busses/queues (Kafka, Rabbit, etc.), containerization (Docker, Kubernetes, etc.)
• Extensive familiarity with the TCP/IP protocol stack, including application of concepts from DNS, WHOIS, and other artifacts needed for technical reconnaissance and discovery
• Comfort with AI development concepts and a genuine enthusiasm for guiding teams to incorporate AI into their workflows and understanding its practical applications in software development
• Experience in technical leadership such as leading project teams' development efforts and setting technical direction
• A passion for coaching others to grow their technology career and sharing good practices with more junior engineers
• Excellent verbal and written communication skills
• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or equivalent education/work experience

Preferred Qualifications:

• Any familiarity with cybersecurity principles and the unique challenges of developing cybersecurity products
• Any familiarity with things like port scanning, vulnerability scanning, or signature development
• Any familiarity with enterprise security products related to Recorded Future’s offerings

The base salary range for this full-time position is $199,000-$278,000. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Recorded Future is seeking an experienced Senior Engineering Manager to lead a diverse team of engineers building one of the world’s most comprehensive global internet scanning platforms. As a Senior Engineering Manager, you will oversee multiple established teams and functions, including:

• Scan Engine Development – Our proprietary network scanning engine that operates on a global scale to collect intelligence insights from everything on the internet, supported by a cross-functional team of software engineers and operations specialists
• Vulnerability and Signature Research – Our team of vulnerability researchers working in coordination with internal intelligence functions to develop unique detections and signatures that power the scan engine
• Scan Operations and Site Reliability – Our team responsible for the operational health, scale, and reliability of the platform, ensuring intelligence is generated and delivered continuously to support teams and clients across the organization

What You'll Do:

• Team Leadership: Lead and mentor a multi-disciplinary team of vulnerability researchers, scan operations engineers, and software engineers across multiple geographies, fostering a collaborative, high-performing, and inclusive environment. Provide technical leadership by guiding development efforts, setting direction, and coaching engineers to grow their careers while maintaining a high engineering bar.
• Cross-Team Coordination: Partner closely with engineering leadership, product managers, and stakeholders across the broader organization — including teams from recently integrated business units — to align on scope, timelines, and solution designs that serve the full breadth of Recorded Future’s needs. Effectively communicate and advocate technical solutions to product, engineering, and business audiences.
• Engineering Excellence: Drive the continuous improvement of engineering practices, processes, and tools to increase efficiency and product quality. Ensure teams design, develop, and deploy features with a focus on high availability, quality, low latency, and scalability.
• Project Management: Oversee the planning, execution, and delivery of product features and updates, ensuring alignment with company goals and timelines.
• Agile Practices: Implement and maintain agile methodologies for project tracking and documentation.
• AI-First Development: Champion an AI-first engineering culture across your teams, encouraging the adoption of AI tools, workflows, and practices in day-to-day development. You should be comfortable guiding your team in its application and aligned with Recorded Future’s broader commitment to AI-driven engineering.

What You'll Bring:

• At least 10 years of experience in software engineering, ideally in an Enterprise SaaS product.
• At least 4 years in a management or leadership role, ideally overseeing multiple functions with remote teams in different timezones.
• Meaningful hands-on software engineering experience, ideally including familiarity with languages such as Python, Go, or C. You don’t need to be actively coding day-to-day, but you should be able to engage credibly with engineers on technical decisions and hold the team to a high engineering bar.
• Background in or strong familiarity with low-level, network-heavy applications with a focus on high-volume traffic, availability, and global scale is highly desirable, despite this role being primarily managerial.
• Familiarity with key technologies such as message busses/queues (Kafka, Rabbit, etc.), containerization (Docker, Kubernetes, etc.)
• Extensive familiarity with the TCP/IP protocol stack, including application of concepts from DNS, WHOIS, and other artifacts needed for technical reconnaissance and discovery
• Comfort with AI development concepts and a genuine enthusiasm for guiding teams to incorporate AI into their workflows and understanding its practical applications in software development
• Experience in technical leadership such as leading project teams' development efforts and setting technical direction
• A passion for coaching others to grow their technology career and sharing good practices with more junior engineers
• Excellent verbal and written communication skills
• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or equivalent education/work experience

Preferred Qualifications:

• Any familiarity with cybersecurity principles and the unique challenges of developing cybersecurity products
• Any familiarity with things like port scanning, vulnerability scanning, or signature development
• Any familiarity with enterprise security products related to Recorded Future’s offerings

The base salary range for this full-time position is $199,000-$278,000. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

Recorded Future is seeking an experienced Senior Engineering Manager to lead a diverse team of engineers building one of the world’s most comprehensive global internet scanning platforms. As a Senior Engineering Manager, you will oversee multiple established teams and functions, including:

• Scan Engine Development – Our proprietary network scanning engine that operates on a global scale to collect intelligence insights from everything on the internet, supported by a cross-functional team of software engineers and operations specialists
• Vulnerability and Signature Research – Our team of vulnerability researchers working in coordination with internal intelligence functions to develop unique detections and signatures that power the scan engine
• Scan Operations and Site Reliability – Our team responsible for the operational health, scale, and reliability of the platform, ensuring intelligence is generated and delivered continuously to support teams and clients across the organization

What You'll Do:

• Team Leadership: Lead and mentor a multi-disciplinary team of vulnerability researchers, scan operations engineers, and software engineers across multiple geographies, fostering a collaborative, high-performing, and inclusive environment. Provide technical leadership by guiding development efforts, setting direction, and coaching engineers to grow their careers while maintaining a high engineering bar.
• Cross-Team Coordination: Partner closely with engineering leadership, product managers, and stakeholders across the broader organization — including teams from recently integrated business units — to align on scope, timelines, and solution designs that serve the full breadth of Recorded Future’s needs. Effectively communicate and advocate technical solutions to product, engineering, and business audiences.
• Engineering Excellence: Drive the continuous improvement of engineering practices, processes, and tools to increase efficiency and product quality. Ensure teams design, develop, and deploy features with a focus on high availability, quality, low latency, and scalability.
• Project Management: Oversee the planning, execution, and delivery of product features and updates, ensuring alignment with company goals and timelines.
• Agile Practices: Implement and maintain agile methodologies for project tracking and documentation.
• AI-First Development: Champion an AI-first engineering culture across your teams, encouraging the adoption of AI tools, workflows, and practices in day-to-day development. You should be comfortable guiding your team in its application and aligned with Recorded Future’s broader commitment to AI-driven engineering.

What You'll Bring:

• At least 10 years of experience in software engineering, ideally in an Enterprise SaaS product.
• At least 4 years in a management or leadership role, ideally overseeing multiple functions with remote teams in different timezones.
• Meaningful hands-on software engineering experience, ideally including familiarity with languages such as Python, Go, or C. You don’t need to be actively coding day-to-day, but you should be able to engage credibly with engineers on technical decisions and hold the team to a high engineering bar.
• Background in or strong familiarity with low-level, network-heavy applications with a focus on high-volume traffic, availability, and global scale is highly desirable, despite this role being primarily managerial.
• Familiarity with key technologies such as message busses/queues (Kafka, Rabbit, etc.), containerization (Docker, Kubernetes, etc.)
• Extensive familiarity with the TCP/IP protocol stack, including application of concepts from DNS, WHOIS, and other artifacts needed for technical reconnaissance and discovery
• Comfort with AI development concepts and a genuine enthusiasm for guiding teams to incorporate AI into their workflows and understanding its practical applications in software development
• Experience in technical leadership such as leading project teams' development efforts and setting technical direction
• A passion for coaching others to grow their technology career and sharing good practices with more junior engineers
• Excellent verbal and written communication skills
• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or equivalent education/work experience

Preferred Qualifications:

• Any familiarity with cybersecurity principles and the unique challenges of developing cybersecurity products
• Any familiarity with things like port scanning, vulnerability scanning, or signature development
• Any familiarity with enterprise security products related to Recorded Future’s offerings

The base salary range for this full-time position is $199,000-$278,000. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

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.

As a Senior Product Manager for Serverless at Datadog, you will define and deliver products that help developers monitor and operate serverless applications at scale. You’ll own the strategy and execution for Datadog’s AWS Serverless observability offering, building experiences that provide visibility into distributed systems and simplify debugging and operations. This role sits at the intersection of cloud infrastructure, developer experience, and AI-powered workflows, and is ideal for a PM who thrives in highly technical product areas. You will work cross-functionally and with external partners to shape how customers build and run modern serverless applications.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.


What You’ll Do:

• Own and drive the roadmap for Datadog’s AWS Serverless observability products, including Lambda, Fargate, and Step Functions
• Define how developers monitor, debug, and operate serverless systems across distributed environments
• Partner with engineering and design to deliver end-to-end product capabilities from concept through launch and iteration
• Collaborate with AWS product teams to align roadmaps and deliver joint solutions for shared customers
• Engage with customers to understand serverless adoption patterns and validate product direction
• Define and track success metrics such as adoption, usage, and impact on developer workflows

Who You Are:

• 5+ years of product management experience building technical products in areas such as cloud infrastructure, developer platforms, or observability
• Strong understanding of distributed systems, cloud-native architectures, and modern application development practices
• Familiarity with serverless technologies, containers, Kubernetes, or microservices environments
• Comfortable working closely with engineers and discussing technical design, tradeoffs, and implementation details
• Experience engaging with customers and using their feedback to inform product decisions and prioritization
• Ability to operate in complex problem spaces and translate them into clear product direction and execution

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Your Role:
Tenable is seeking a Full Stack Senior Software Engineer to join our core product engineering teams. You will play a pivotal role in designing, developing, and maintaining cloud-native, large-scale cybersecurity products that protect organizations worldwide. Our platforms operate in complex, ever-changing environments and demand innovation in scalability, reliability, and performance.

As a Senior Software Engineer, you will build and optimize highly scalable microservices and user experiences, leveraging modern programming languages, frameworks, and cloud technologies. Your work will directly enable customers to secure their applications, infrastructure, and digital assets at scale.

Your Opportunity:

• Shape the Architecture: Contribute to the design and implementation of new features while influencing system architecture to meet performance and scalability goals.
• Innovate at Scale: Advance Tenable’s global cloud platforms and distributed systems to deliver high-availability, high-security solutions.
• Continuous Learning: Access training budgets, conferences, and certifications to stay ahead in security, cloud, and software engineering.
• Raise the Bar: Champion engineering excellence by introducing innovative practices, improving system performance, and mentoring teammates.
• Collaborate & Lead: Partner with Product Managers, UX designers, and fellow engineers. Mentor peers across teams, fostering a culture of innovation and technical rigor.

What You’ll Need:

• 4+ years of experience as a Full Stack Software Engineer in SaaS/cloud-based applications.
• 3+ years of hands-on development with Java or Kotlin.
• Proficiency with modern UI frameworks (e.g., React, Angular, Vue.js).
• Strong expertise in microservices architectures and RESTful API development.
• Experience with AWS or other public clouds, distributed systems, and scaling services.
• Database fluency with both SQL and NoSQL (e.g., PostgreSQL, DynamoDB, Elasticsearch).
• Experience with event-driven systems (Kafka, SQS, SNS, etc.).
• Familiarity with DevOps practices: CI/CD pipelines, containerization (Kubernetes, Docker), IaC (Terraform), and monitoring/observability (Prometheus, Datadog, ELK, Splunk, PagerDuty).
• Strong Git practices (branching, code reviews).
• Proven ability to own projects end-to-end, balancing trade-offs and delivering high-impact outcomes.
• Problem-solving mindset with focus on performance, scalability, and security.
• Experience working in Agile environments.
• Strong communication skills and proven ability to mentor junior engineers.
• Curiosity and passion for staying current with emerging tech and industry trends.

And Ideally:

• Prior experience in cybersecurity, DevSecOps, or security tooling.
• Background in on-premise and hybrid deployments.
• Experience with multi-tenant SaaS architectures.
• Familiarity with vulnerability management, application scanning, or related domains.

#LI-Hybrid

#LI-MS1

ABOUT THE TEAM

Anduril Industries is redefining defense technology by delivering advanced, integrated systems to U.S. and allied forces. At the heart of our efforts is Lattice OS, a secure, distributed operating system enabling autonomous decision-making at machine speed across platforms, cloud systems, and tactical networks.

ABOUT THE JOB

We are seeking a Multinational Digital Infrastructure Senior Cloud Engineer to design, deploy, and manage complex AWS and Azure cloud environments for multinational defense operations. This hands-on role requires deep technical expertise in multi-cloud architecture, security, and edge-to-cloud integrations supporting sovereign and classified environments across U.S., Australian, and UK missions.

This role offers a chance to design and deploy cutting-edge cloud infrastructure for missions of global importance. As a Senior Cloud Engineer, Multinational Digital Infrastructure, you’ll work with groundbreaking technology, support multinational operations, and drive innovation in secure cloud systems that empower autonomy and mission success across allied nations.

WHAT YOU’LL DO

• Design and Deploy Cloud Systems: Build secure, scalable cloud architectures on AWS and Azure to support tactical mission platforms and sovereign defense environments.
• Integrate Multinational Clouds: Engineer solutions enabling seamless interoperability between sovereign cloud environments (e.g., IL5/IL6 networks, Australian IRAP-compliant builds) and tactical edge systems.
• Optimize Cloud Infrastructure: Develop automated workflows using Infrastructure-as-Code tools (e.g., Terraform, CloudFormation) to streamline deployments, scaling, and maintenance.
• Enable Secure Data Flow: Work across classified systems to establish secure edge-to-cloud pipelines for autonomy, mission data, and operational decision-making.
• Collaborate Globally: Support multinational exercises, partner integration events, and global deployments, ensuring systems function across U.S., UK, and Australian defense frameworks.
• Troubleshoot in Real-Time: Resolve complex cloud infrastructure challenges in operational environments, balancing security, uptime, and mission-critical needs.

REQUIRED QUALIFICATIONS

• 8+ years in cloud engineering, architecture, or systems engineering, with direct expertise in AWS and Azure environments.
• Technical Expertise:
• Proficiency in multicloud architecture, secure networking (VPCs, VPNs, hybrid connectivity).
• Hands-on experience with Infrastructure-as-Code tools like Terraform, CloudFormation, and Ansible.
• Advanced knowledge of cloud security principles, IAM, encryption, and compliance frameworks (e.g., IL5/IL6, IRAP).
• Working knowledge of container orchestration (e.g., Kubernetes, Docker).
• Clearance: Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance
• Education: Bachelor’s degree in computer science, engineering, or related technical field.
• Travel: Willingness to travel up to 30%, including international deployments.

PREFERRED QUALIFICATIONS

• Experience with sovereign cloud platforms in classified environments.
• Familiarity with Lattice OS or distributed systems used in autonomous operations.
• Hands-on knowledge of mesh networking, edge compute, or tactical data systems.
• Multinational collaboration experience, including AUKUS missions or other allied defense efforts.

About Formlabs:

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We’re a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you’re ready to shape the future of fabrication, come build it with us.

Your Impact: 

As a Digital Systems Engineer at Formlabs, you will play a crucial role in designing, enhancing, and maintaining applications in our digital landscape: eCommerce, CRM, Marketing, and Sales/Service. You will build new features, facilitate new integrations with other business systems, and ensure the performance, stability, and scalability of our digital environment. You will collaborate closely with business stakeholders and peer Systems teams to deliver impactful solutions that support our growth and improve operational efficiency.

This is an exciting opportunity for a motivated digital engineer who can span across multiple platforms and technologies, thrives in a fast-paced, collaborative environment, and is passionate about driving business growth and excellence through technology.

This role is based in our Budapest, Hungary office or in our Somerville, Massachusetts, USA office and is a full-time position.

The Job:

• Architect, develop, configure, and customize the back-end Shopify B2B Commerce platform, including creating/enhancing Shopify Apps, Shopify Functions & Extensions, and Shopify APIs. (This is not a front-end Shopify role.)
• Design and develop complex B2B capabilities that go beyond Shopify B2B’s standard features, both inside and outside Shopify B2B, and with relevant integration capabilities throughout Formlabs digital landscape.
• Partner with the headless front-end teams and provide backend expertise, data, and API endpoints that serve blazing-fast, SEO-optimized user experiences.
• Partner with the Salesforce team to architect and develop key integrations, features, and functions to enable sales and service excellence, through both assisted and self-service capabilities.
• Collaborate and drive enterprise integrations between Shopify, Salesforce, ERP, DWH, and other internal/external systems using APIs and middleware.
• Develop and contribute to various other digital roadmap initiatives, such as marketing automation, AI-driven tools for sales and service, and vendor solutions.
• Utilize modern software development practices to deliver well-documented, clean, efficient code: version/branch control, QA practices, CI/CD, deployment keys, etc.
• Collaborate with stakeholders and technical partners to define and understand requirements and translate to scalable technical solutions.
• Contribute to the strategic direction of Formlabs’ digital landscape.

You:

• 5+ years of professional experience as a full-stack engineer building eCommerce or digital platforms for a B2B business
• Proven proficiency and experience in Shopify B2B, Shopify Apps, Shopify Functions & Extensions, and Shopify APIs from a back-end perspective in a headless context (this is not a front-end role)
• Experience and understanding of enterprise integration and the complexities of integrating Shopify, Salesforce, ERP, and DWH in a fast-moving business
• Experience with Salesforce ecosystem and understanding of Apex, Lightning, Flow, Validation rules, Automations, and APIs Skills
• Data savviness: ability to write SQL queries from scratch, and knowledge of data warehouse concepts and tools (i.e. BigQuery, etc.)
• Experience with software development and deployment tools: GitHub, Gearset, Kubernetes, etc.
• Excellent problem-solving, analytical, and communication skills
• Ability to work in a collaborative, fast-paced environment, and the ability to learn and implement new technologies quickly
• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Bonus Points:

• Shopify Verified Skills and Badges (Shopify B2B: Launch and Customization, Shopify B2B: Foundations, Discovery and Solution Design, etc.)
• Salesforce Developer certifications (e.g., Platform Developer I/II), Apex experience.
• Experience with iPaaS middleware or cloud-based integration functions (AWS Lambda/GCP Cloud Functions).
• Ability to effectively leverage AI coding tools
• Familiarity with various ERP, CRM, Marketing Automation, Data Analytics, and Business Intelligence systems and tools.

Our Benefits & Perks:

• Robust equity program to build future wealth through RSUs
• Comprehensive healthcare coverage (Medical, Dental, Vision)
• 401K matching and access to financial advisors
• Generous paid Parental Leave (up to 16 weeks)
• Tenure-based paid Sabbatical Leave (up to 6 weeks)
• Flexible Out of Office Plan – Take time when you need it
• Ample on-site parking & pre-tax commuter benefits
• Healthy on-site lunches, snacks, beverages, & treats
• Regular sponsored professional development opportunities
• Many opt-in culture events across our diverse community
• And of course… unlimited 3D prints

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

About Formlabs:

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We’re a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you’re ready to shape the future of fabrication, come build it with us.

Your Impact: 

As a Senior Shopify Engineer at Formlabs, you will play a crucial role in designing, enhancing, and maintaining applications in our digital landscape: eCommerce, CRM, Marketing, and Sales/Service. You will build new features, facilitate new integrations with other business systems, and ensure the performance, stability, and scalability of our digital environment. You will collaborate closely with business stakeholders and peer Systems teams to deliver impactful solutions that support our growth and improve operational efficiency.

This is an exciting opportunity for a motivated digital engineer who can span across multiple platforms and technologies, thrives in a fast-paced, collaborative environment, and is passionate about driving business growth and excellence through technology.

This role is based in our Budapest, Hungary office or in our Somerville, Massachusetts, USA office and is a full-time position.

The Job:

• Architect, develop, configure, and customize the back-end Shopify B2B Commerce platform, including creating/enhancing Shopify Apps, Shopify Functions & Extensions, and Shopify APIs. (This is not a front-end Shopify role.)
• Design and develop complex B2B capabilities that go beyond Shopify B2B’s standard features, both inside and outside Shopify B2B, and with relevant integration capabilities throughout Formlabs digital landscape.
• Partner with the headless front-end teams and provide backend expertise, data, and API endpoints that serve blazing-fast, SEO-optimized user experiences.
• Partner with the Salesforce team to architect and develop key integrations, features, and functions to enable sales and service excellence, through both assisted and self-service capabilities.
• Collaborate and drive enterprise integrations between Shopify, Salesforce, ERP, DWH, and other internal/external systems using APIs and middleware.
• Develop and contribute to various other digital roadmap initiatives, such as marketing automation, AI-driven tools for sales and service, and vendor solutions.
• Utilize modern software development practices to deliver well-documented, clean, efficient code: version/branch control, QA practices, CI/CD, deployment keys, etc.
• Collaborate with stakeholders and technical partners to define and understand requirements and translate to scalable technical solutions.
• Contribute to the strategic direction of Formlabs’ digital landscape.

You:

• 5+ years of professional experience as a full-stack engineer building eCommerce or digital platforms for a B2B business
• Proven proficiency and experience in Shopify B2B, Shopify Apps, Shopify Functions & Extensions, and Shopify APIs from a back-end perspective in a headless context (this is not a front-end role)
• Experience and understanding of enterprise integration and the complexities of integrating Shopify, Salesforce, ERP, and DWH in a fast-moving business
• Experience with Salesforce ecosystem and understanding of Apex, Lightning, Flow, Validation rules, Automations, and APIs Skills
• Data savviness: ability to write SQL queries from scratch, and knowledge of data warehouse concepts and tools (i.e. BigQuery, etc.)
• Experience with software development and deployment tools: GitHub, Gearset, Kubernetes, etc.
• Excellent problem-solving, analytical, and communication skills
• Ability to work in a collaborative, fast-paced environment, and the ability to learn and implement new technologies quickly
• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Bonus Points:

• Shopify Verified Skills and Badges (Shopify B2B: Launch and Customization, Shopify B2B: Foundations, Discovery and Solution Design, etc.)
• Salesforce Developer certifications (e.g., Platform Developer I/II), Apex experience.
• Experience with iPaaS middleware or cloud-based integration functions (AWS Lambda/GCP Cloud Functions).
• Ability to effectively leverage AI coding tools
• Familiarity with various ERP, CRM, Marketing Automation, Data Analytics, and Business Intelligence systems and tools.

Our Benefits & Perks:

• Robust equity program to build future wealth through RSUs
• Comprehensive healthcare coverage (Medical, Dental, Vision)
• 401K matching and access to financial advisors
• Generous paid Parental Leave (up to 16 weeks)
• Tenure-based paid Sabbatical Leave (up to 6 weeks)
• Flexible Out of Office Plan – Take time when you need it
• Ample on-site parking & pre-tax commuter benefits
• Healthy on-site lunches, snacks, beverages, & treats
• Regular sponsored professional development opportunities
• Many opt-in culture events across our diverse community
• And of course… unlimited 3D prints

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

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

Team Overview

The Platform Security Engineering (PSE) team builds security into Anduril's products from architecture through production. We work directly with business lines to design and implement security solutions tailored to their systems — then promote proven patterns into shared, composable platform services that the entire organization can use. Our mission is threefold: build security solutions for business lines, promote those solutions into the platform, and enable teams to build and operate securely on their own. The work spans cryptographic protocols, operating system hardening, secure boot, hardware security integration, authentication systems, and distributed protocol security across embedded, edge, and cloud environments.

Job Description

We're looking for senior and staff-level software engineers to design and build security solutions across Anduril's product ecosystem. You'll partner directly with business line engineering teams to understand their systems, threat models, and security requirements — then design and implement solutions that range from custom, business-line-specific implementations to shared platform services. The problems you'll work on span the full stack — secure hardware, operating systems, container orchestration, distributed services, and cloud infrastructure — and you'll move between them as the mission demands. We value engineers who are strong generalists: comfortable learning new domains quickly and working across security boundaries rather than specializing in just one.

We're also open to hiring talented software engineers with less security-specific experience, provided they have a strong track record building production software at scale, learn fast, and are motivated to go deep on security.

Key Responsibilities

• Design and implement security features and services for business line products — including custom solutions when platform capabilities don't yet exist
• Identify patterns across business line implementations and promote them into shared, composable platform security services
• Build tooling, libraries, and reference implementations that enable engineering teams to adopt secure patterns independently
• Lead security architecture reviews and threat modeling for business line and platform systems
• Implement cryptographic protocols, key management systems, and certificate infrastructure
• Work across the technology stack: secure hardware (TPM, TEE), operating systems, container orchestration, and application-layer security
• Provide hands-on engineering support to business line teams adopting platform security services
• Collaborate with the Security Applications & Tools team on cross-cutting security infrastructure

Required Qualifications

• 6+ years of experience designing and developing production software in large-scale environments (8+ for Staff level)
• Proficient in at least one of: C++, Rust, or Go
• Strong software engineering fundamentals: you can design, build, and operate complex systems and pick up new domains quickly
• Experience working on security for distributed systems, or demonstrated ability and motivation to develop deep security expertise
• Ability to work directly with product and engineering teams to translate requirements into working implementations
• Comfortable working across multiple problem domains rather than specializing in a single area
• Strong communication skills with proven ability to negotiate and reach consensus across teams
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

Experience or willingness to learn in a subset of the following:

• Designing and implementing secure protocols, APIs, or cryptographic systems
• Integrating secure hardware (TPM, TEE, HSM)
• Operating system security and hardening (Linux)
• Securing Kubernetes deployments and container runtimes
• Embedded systems or robotics security
• Secure cloud architectures (AWS or Azure)
• Performing security architecture reviews and threat modeling

Additionally valuable:

• Proficient in: TypeScript, React, Python
• Experience building shared libraries, SDKs, or platform services consumed by other engineering teams
• Knowledge of cryptographic primitives and best practices (key management, certificate lifecycles, secure key storage)
• Familiarity with compliance frameworks (STIGs, NIST) and translating requirements into engineering controls
• Experience with Nix build systems

Team Overview

The Security Applications & Tools (SAT) team within Lattice Platform Security builds custom software systems that detect, manage, and remediate vulnerabilities across Anduril's product ecosystem at scale. We don't just deploy scanners — we design and build distributed scanning infrastructure, policy enforcement engines, and vulnerability management platforms from the ground up. Our stack includes event-driven architectures on AWS, custom Go services, policy-as-code systems, and integrations that span CI pipelines to production environments.

Job Description

We're looking for a senior software engineer to design and build the systems that keep Anduril's software secure. This is a software engineering role first — you'll architect distributed systems, write production Go and Python, build APIs, and operate services at scale. The domain is security, but the work is building real software: custom scanning orchestration pipelines, policy engines that evaluate thousands of configurations against security rules, and data systems that track vulnerabilities across an entire product ecosystem. If you want to write code that solves hard engineering problems in the security space rather than configure off-the-shelf tools, this is the role.

Key Responsibilities

• Design and build distributed services for vulnerability scanning, policy enforcement, and remediation workflows
• Develop and extend the team's scanning orchestration platform — an event-driven architecture built on AWS (SQS, Lambda, S3, ECR) that processes scan events at org-wide scale
• Build and maintain policy-as-code systems that programmatically enforce security policy in CI/CD pipelines and deployment configurations
• Design APIs and CLIs that integrate security tooling into developer workflows without creating friction
• Develop data pipelines that aggregate, normalize, and route findings from multiple scanning engines into vulnerability management systems
• Collaborate with engineering teams across Anduril to understand their security needs and build tooling that addresses them
• Evaluate third-party security tools and build custom integrations or replacements where needed
• Participate in on-call rotation for security tooling infrastructure

Required Qualifications

• 5+ years of experience designing and developing production software systems
• Strong proficiency in Go — this is the team's primary language for backend services
• Experience building distributed systems or data pipelines (event-driven architectures, message queues, APIs, worker systems)
• Proficiency with Python for scripting, automation, and tooling
• Experience with cloud infrastructure (AWS preferred: Lambda, SQS, S3, ECR, or equivalent)
• Ability to read and understand security tool output (vulnerability reports, SBOMs, static analysis results) and build systems around it
• Strong communication skills with the ability to work across teams
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

• Experience with CI/CD systems (CircleCI, GitHub Actions) and building integrations for developer workflows
• Familiarity with container security concepts, SBOM generation tools (Syft), and vulnerability scanners (Trivy, Grype, Semgrep)
• Experience with Terraform and infrastructure-as-code
• Experience with policy-as-code frameworks (OPA/Rego, Conftest)
• Background in application security or product security engineering
• Experience with Kubernetes and container orchestration
• Familiarity with Nix build systems

ABOUT THE TEAM:

The Developer Platform team builds the tools and infrastructure that power software development at Anduril. We own the company's primary developer CLI (2,300+ engineers, 93k+ invocations), CI/CD pipelines serving 3,500+ engineers across 23 product lines in the US, Australia, and UK, deployment and release management systems, and Anduril's LLM adoption platform. We are standing up a new agentic development initiative to build the next generation of AI-powered developer infrastructure. The team is growing fast and this is a ground-floor opportunity to define what agentic software development looks like at a company building mission-critical defense systems.

WHAT YOU'LL DO:

• Build multi-agent orchestration infrastructure that moves AI coding agents from individual developer machines to servers executing work autonomously across repositories at company scale
• Design and implement an agent-optimized, real-time knowledge base that gives AI agents deep context on codebases, architecture, and operational patterns
• Build a skills and plugin platform that lets any team encode their domain knowledge into reusable AI capabilities
• Improve CI/CD reliability and developer experience across 23 product lines
• Create release tooling that simplifies shipping software to production environments and robotic platforms
• Operate and evolve Anduril's LLM adoption platform: model rollouts, capacity management, cost attribution, and developer onboarding

REQUIRED QUALIFICATIONS:

• Strong software engineering fundamentals in one or more of: Go, Python, TypeScript
• An entrepreneur, builder, PM, and designer rolled into one. We need people with outstanding software taste who can identify the right problem, design the solution, build it, and ship it in days, not quarters.
• A passion for developer tooling. You notice friction in your own workflow and cannot help but fix it. You spend 4 hours sharpening the axe and 30 minutes chopping wood.
• Demonstrated ability to quickly learn and adapt to unfamiliar technologies across multiple domains
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS:

• Experience building developer tools, CLIs, CI/CD systems, or platform infrastructure
• Experience with Kubernetes, Nix, or cloud infrastructure (AWS/Azure)
• Genuine interest in LLMs and agentic systems as applied to developer productivity. If you are already building with AI coding agents in your daily workflow, you will feel right at home.
• Prior work on LLM integrations, prompt engineering, or agent frameworks

Mission Summary:

As a Staff Engineer within the Platform Engineering team, you will be a hands-on technical leader driving the evolution of Motional's global cloud and hybrid infrastructure. Operating as a senior individual contributor, you'll tackle our hardest platform problems directly — designing systems, creating code, and setting technical direction for initiatives that span multiple teams. Your work will help transform our R&D environment into a hardened, cost-efficient, and scalable commercial backbone, and ensure our internal platforms deliver the developer velocity required for rapid AV deployment.

What you'll be doing:

• Design and build major components of our cloud architecture — including networking, storage, compute abstraction layers. You'll own the technical design end-to-end and create code where it matters most
• Drive technical evolution of our Kubernetes-based developer platform. Identify the highest-leverage improvements to scalability, cost attribution, access control, and developer ergonomics — then design and implement them to reduce configuration complexity and accelerate engineering velocity
• Raise the reliability bar across Platform Engineering. Define and implement standards for SLIs, SLOs, observability, and failover, and partner with peer teams to roll them out across platform-layer services
• Drive FinOps practices — cost visibility, attribution, accountability as well as optimization recommendations
• Design and ship AI-native developer experiences by integrating LLM-powered tooling into CI, build systems, monitoring platforms, and local development workflows to remove friction and boost engineering throughput
  
  

What we're looking for:

• Bachelor's or Master's in Computer Science, Engineering, or a related field (or equivalent practical experience)
• 9 years in Software or Infrastructure Engineering, with significant experience in a senior IC capacity
• Deep, expert-level knowledge of Kubernetes internals and ecosystem (Operators (Crossplane, ArgoWorkflow/Airflow, KubeRay), Kubecost/OpenCost, Service Mesh, GitOps and other CNCF projects)
• Proven track record of designing or migrating complex workloads between on-prem data centers and major cloud providers (AWS, GCP, other)
• Experience with Infrastructure-as-Code (Terraform/CloudFormation, Terraform Cloud/Spacelift/Atlantis) and advanced observability tooling (OpenTelemetry, Prometheus/VictoriaMetrics, Grafana, Datadog)
• Expert in architecting AI-driven operations, leveraging LLMs and agentic workflows to automate incident response, predictive scaling, and intelligent system observability
• Demonstrated ability to influence technical roadmaps across an entire engineering organization and mentor senior technical staff
  
  

Bonus points (not required):

• Proven expertise in CI/CD orchestration, build systems (Bazel, RBE), frameworks
• Prior experience with large-scale machine learning training pipelines
• Experience leading technical projects in a globally distributed team
• Open-source contributions to Kubernetes, observability, or infrastructure tooling ecosystems

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast.

As a Senior Software Engineer on the API & MCP Platform team, you'll be at the forefront of building and scaling ZoomInfo's API infrastructure that handles millions of API calls weekly and powers integrations across our platform. You'll work with Java and NestJS to develop robust, secure, and high-performance API services that enable seamless connectivity for our customers and partners.

You'll design and implement scalable API architectures, establish best practices for API security and authentication, and build infrastructure that enables partners and customers to leverage ZoomInfo's data at scale. Your expertise in API design, OAuth 2.0, and emerging technologies like Model Context Protocol (MCP) will be essential in creating world-class developer experiences.

Our engineering culture values diversity, intellectual curiosity, problem-solving, and openness. We encourage collaboration, big thinking, and calculated risk-taking in a blame-free environment. You'll have the autonomy to work on meaningful projects while receiving the support and mentorship needed to grow your career.

What you will do :

• Design, develop, and maintain scalable RESTful APIs using Java and NestJS framework
• Build APIs that power company and contact data enrichment, search, and intelligence capabilities
• Architect and implement secure authentication and authorization systems using OAuth 2.0
• Build high-performance API gateways with advanced rate limiting, throttling, and quota management
• Design and implement MCP (Model Context Protocol) tools and servers to enable AI-powered integrations
• Establish and enforce API design standards, versioning strategies, and best practices across the organization
• Optimize API performance, caching strategies, and response times for high-volume traffic (millions of calls daily)
• Design and implement comprehensive API documentation, SDKs, and developer tools
• Create MCP tool schemas, implement prompt best practices, and optimize tool discovery patterns
• Collaborate with product and integration teams to define API contracts and service-level agreements (SLAs)
• Implement monitoring, logging, and analytics for API usage patterns and performance metrics
• Participate in code reviews and mentor team members on API and MCP best practices
• Troubleshoot and resolve production issues in distributed API systems
• Contribute to technical architecture decisions for API platform evolution. 

What you bring:

• Bachelor's degree in Computer Science, a related field, or equivalent practical experience
• 5+ years of experience in software development with strong focus on API development
• 3+ years of experience designing and implementing RESTful APIs and microservices at scale
• Strong expertise in Java frameworks (Spring Boot, Spring Security, Maven/Gradle)
• Strong expertise in NestJS framework
• Deep understanding of OAuth 2.0, OpenID Connect, JWT, and API security best practices
• Experience with API gateway technologies 
• Proficiency with API design patterns, versioning, and documentation (OpenAPI/Swagger)
• Strong knowledge of rate limiting, throttling, and API scalability strategies
• Understanding of distributed systems and high-availability architectures
• Experience with MCP (Model Context Protocol) tool creation and implementation. 

Preferred Qualifications:

• Experience releasing production MCP tools and servers
• Deep knowledge of MCP best practices, prompt engineering, and tool design patterns
• Familiarity with AI/LLM integration patterns and context management
• Experience with cloud platforms (AWS, GCP, or Azure)
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Experience with CI/CD pipelines and automated API testing
• Familiarity with message queuing systems (Kafka, RabbitMQ)
• Experience building developer portals and API documentation platforms
• Background in platform engineering or developer experience (DX) initiatives
• Active contributions to open-source API projects or MCP tool repositories

#LI-SK1

#LI-Hybrid

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Logs family of products represents a strategic evolution in how organizations manage and analyze logs at scale while meeting stringent data residency, compliance, and cost requirements. The Product Solutions Architect (PSA) will work closely with Datadog customers, Logs Product team, and the CloudPrem product team to architect, implement best practices, and drive adoption of the log management suite.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
• Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale
• Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments
• Actively identify opportunities to simplify, optimize, and standardize deployment patterns, reducing operational complexity for customers through architectural guidance and best practices.
• Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers
• Capture repeat customer use cases and solutions and in turn publish Reference Architectures, automation patterns, and Implementation Guides for Datadog prospect and customer consumption
• Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities
• Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Log Management product family
• Exercise the products you represent by building hands-on proof of concepts, small scale deployments  to validate solutions and reproduce customer environments
• Engage deeply with customers, feeling their operational pain points and driving solutions that measurably improve reliability, scalability, and day-to-day operations

Who You Are:

• Someone with strong hands-on experience with tools such as Kubernetes, including cluster architecture, networking, storage, and operational best practices.
• Someone with strong knowledge of cloud infrastructure fundamentals, including networking, compute, storage, and distributed system design.
• Someone familiar with Security, Governance, and Compliance requirements for industry verticals
• Someone who can dive deep into our Codebase, SDKs, and GitHub workflows to understand, debug, and influence product behavior
• Experience with languages like Python and/or Rust, and file formats such as JSON and YAML
• A self-starter, tech-savvy professional, who is comfortable working with bleeding edge technology and processes, even if it hasn’t been well defined
• A deep learner and a Subject Matter Expert today that has built advocacy and knowledge across multiple teams with the knowledge you possess 
• Fluent in understanding the observability market domain, competition, technological shifts, and customer needs
• Someone who values getting things done, taking ownership from problem definition through implementation and outcome
• Highly detail-oriented, especially when working on architectures, documentation, and customer-facing solutions
• A person who possesses exceptional listening and consultative skills, for both internal and external audiences
• Experienced working with customers in high pressure situations where the solution is sometimes not obvious - caring about customer pain and motivated to solve hard problems on their behalf
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train, or air up to 40% of the time 

Bonus Points:

• Successful track record with 5+ years experience working as an Architect or Consultant 
• Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
• Have recent experience deploying solutions in production environments at scale
• Strong knowledge or experience with Splunk, Elastic, Opensearch, SumoLogic, Vector, Cribl, Quickwit

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems. 

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.
• Collaborate with AI engineering and iPaaS  engineering teams to plan and deliver complex platform initiatives.
• Patch and optimize open-source components for performance and security.
• Build iPaaS and AI infrastructure at scale and cross-cloud.
• Manage and provision AWS infrastructure using Terraform and Kubernetes.
• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.
• Improve and maintain CI/CD pipelines for scalable and secure component delivery.
• Tune Linux systems and open-source software for high performance and hardened security.
• Build internal tools to streamline engineering workflows and operational automation.
• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

• 7+ years of experience in infrastructure or systems engineering roles.
• Proven expertise in distributed systems and cloud-native architectures.
• Strong understanding of Linux internals, including networking and system-level performance tuning.
• Experience operating infrastructure on AWS at scale.
• Proficiency with Terraform, Kubernetes. 
• Solid understanding of network security and cloud security best practices.
• Hands-on experience optimizing CI/CD workflows and automating deployments.
• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.
• Experience building cross-cloud AI infrastructure.
• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.
• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.
• Understanding of Vault or other secrets management systems.
• Contributions to or maintenance of open-source infrastructure projects.
  
  

Tech Stack

• AWS • Terraform • Kubernetes •  LiteLLM • Quadrant • ArgoCD • Kafka • PostgreSQL • Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.
• Collaborate with experienced engineers in the US and across international teams.
• Work in a highly technical environment focused on scalability, performance, and reliability.
• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.

This is a full-time position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

Role overview

CarGurus is looking for a Security Engineer II to add to our growing Threat Detection and Response (TD&R) Team. This is a hands-on technical role that will build our first line of defense against cybersecurity threats in a complex and evolving landscape. You will be responsible for our detection and response lifecycle, identifying and preventing threats from impacting our employees, customers and other stakeholders. As a Security Engineer II, you will have the opportunity to build a platform to identify and stop threats, work with data to solve complex security challenges, and serve as the primary defender for the CarGurus ecosystem.

What you'll do

• Build tools and techniques to detect threats to the company using an engineering-first approach that prioritizes reliability, maintainability and scalability
• Leverage AI and automation to streamline detection and response operations in a safe and reliable manner
• Onboard, normalize and optimize security logging data to support detection engineering, applied ML models, and efficient querying during incidents.
• Develop high-fidelity, rule-based and ML-driven detections as code, utilizing automated testing and CI/CD pipelines for deployment.
• Respond to alerts, threats, and security incidents, including participating in on-call rotations
• Monitor the threat landscape to identify and track emerging threats, ensuring that appropriate detective and preventative controls are deployed
• Partner with development teams to design controls for a cloud first infrastructure (AWS, Kubernetes, etc)

What you'll bring

• 3+ years of experience in software, security, and/or data engineering 
• Strong desire to apply the latest technology including AI and ML to defend against threats
• Experience with data pipelines and data engineering, especially centralized logging, SIEM tools, and data lakes 
• Desire to measure the success of your work with quantitative tools like Precision and Recall
• Experience in at least one programming language like Python, Go or similar
• Experience with cloud infrastructure and technologies like AWS, Kubernetes, containers, IaC, etc
• Experience with good engineering practices like git/GitHub and CI/CD automations 
• Familiarity with tactics, techniques, and procedures used by threat actors
• Familiarity detecting and responding to cybersecurity incidents
• Strong passion for continuous learning, especially relating to cybersecurity and technology
• Team player with strong oral and written communication skills

We're looking for a Software Engineer III to join the Contributory Network team within Data Acquisition - one of ZoomInfo's most strategically important initiatives.

The Contributory Network is building the infrastructure that powers a new generation of intelligence products by ingesting, transforming, and processing first-party data contributed by thousands of customers through their CRM, email, and recording provider integrations.

In this role, you'll build the data pipelines that ingest and transform massive volumes of contributed data, as well as contribute to front-end experiences that give internal teams and customers visibility into the platform. You'll work across the full stack, with a strong emphasis on backend data engineering and a meaningful front-end component.

What You'll Do

• Design and build data pipelines that ingest, validate, and transform first-party data from customer integrations (CRM systems, email providers, recording platforms)
• Develop and maintain ETL/ELT workflows for processing contributed contact information, opportunity metadata, and engagement signals at scale
• Build and enhance front-end interfaces for monitoring, configuration, and data quality dashboards using Angular
• Work with streaming and batch processing technologies to handle real-time and scheduled data flows
• Collaborate closely with product managers to translate business requirements into technical solutions
• Ensure data quality and integrity across the pipeline - from ingestion through enrichment and delivery
• Contribute to observability and monitoring for pipeline health, throughput, and error rates
• Partner with cross-functional teams (Data Quality, Platform, Product) to deliver impactful features

Must-Have Qualifications

Data Engineering

• 3+ years of professional software engineering experience
• Solid experience building and operating data pipelines (ETL/ELT) at scale
• Proficiency in Java
• Experience with data processing frameworks such as Apache Beam, Apache Airflow or Spark
• Hands-on experience with streaming technologies (Kafka, Pub/Sub, or similar)
• Familiarity with cloud platforms, preferably GCP (BigQuery, GKE, Dataflow/DataProc)
• Understanding of data modeling, schema design, and data quality practices

Front-End Development

• Working experience with modern front-end frameworks, ideally Angular
• Ability to build functional, clean UIs for internal tools, dashboards, and configuration screens
• Comfortable working with REST APIs and integrating front-end with backend services

General

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• Strong problem-solving skills and attention to detail
• Ability to find the right balance between perfection and getting the job done
• Effective communicator who works well in a collaborative, cross-functional environment

Nice to Have

• Experience with Kubernetes (GKE/EKS) for distributed workloads
• Familiarity with Snowflake, BigQuery, or similar cloud data warehouses
• Experience with Terraform or infrastructure-as-code tools
• Exposure to data integration patterns involving CRM systems or email/calendar APIs
• Experience in a B2B data company or data-as-a-product environment

Why This Role Matters

The Contributory Network is a cornerstone of ZoomInfo's long-term strategy. By building the data infrastructure that processes first-party contributions from thousands of companies, you'll directly power intelligence products - from competitive benchmarking to buyer committee insights to market timing signals - that no other source in the world can offer.

You'll be joining at a pivotal moment: the initiative is high-visibility, the team is growing, and the opportunity to shape how contributory data flows through ZoomInfo is yours to build.

#LI-AR2

#LI-HYBRID

Job Title: Software Engineer
Locations: Houston, TX; Boston, MA  
Reports to: Manager, Software Engineering 

 A quick snapshot…
We are seeking a talented and motivated Software Engineer to join our engineering team and contribute to the development of next-generation AI and Generative AI–powered products and solutions. In this role, you will work on cutting-edge SaaS technologies and help build scalable software used by enterprises worldwide. You will contribute to the design, development, testing, deployment, and maintenance of software systems while collaborating with cross-functional teams to deliver reliable and innovative product capabilities.

Why it’s a big deal…  
As a Software Engineer, you will contribute to the development of Conga’s AI-powered platform by helping build scalable applications and services that support intelligent automation and advanced analytics for global customers. 

Here's what we’re looking for… 

Related Experience. 

Software Development. Write clean, maintainable, and efficient code for software applications and distributed systems while adhering to engineering best practices.

GenAI Product Development. Participate in the AI development lifecycle including data preparation, model experimentation, evaluation, and deployment of generative AI solutions.

Technical Contribution. Collaborate with engineering teams to develop and enhance software features that meet performance, scalability, and reliability requirements.

Feature Delivery. Work closely with product managers and engineering teams to deliver features and improvements on schedule while maintaining high quality standards.

Architectural Participation. Contribute to technical design discussions and architecture reviews to ensure solutions are scalable, reliable, and maintainable.

Code Review. Participate in peer code reviews and maintain a high standard of technical quality across the engineering team.

Testing & Quality. Develop testable software, write unit tests, and participate in automated testing processes using modern testing tools and frameworks.

Service Health & Reliability. Monitor service performance and assist in troubleshooting issues. Participate in root cause analysis and improvements to enhance system reliability.

DevOps Collaboration. Work within a DevOps model to help deploy, monitor, and maintain applications in production environments.

Documentation. Document features, enhancements, and fixes while contributing to knowledge sharing and internal documentation.

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

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
• 4+ years of professional software development experience
• Strong proficiency in Python and modern Python frameworks
• Experience with FastAPI, PyTest, Celery, or similar technologies
• Familiarity with software development practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Understanding of cloud technologies and DevOps principles

Here’s what will give you an edge… 

• Experience with object-oriented programming, concurrency, and REST APIs
• Familiarity with AI/ML, Generative AI, and MLOps concepts
• Experience with LangChain, LangGraph, or similar AI frameworks
• Experience working with SQL and NoSQL databases such as MongoDB, MSSQL, or PostgreSQL
• Experience with CI/CD pipelines and tools such as Terraform and GitHub Actions
• Experience with Docker and Kubernetes
• Familiarity with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow
• Experience with additional languages such as C#, Java, or Scala is a plus

#LI-BR1

Role: Senior Software Engineer 
Reports to: Sr. Manager, Software Engineering 
Location: Houston, TX; Boston, MA; 

A quick snapshot…
As a Senior Software Engineer at Conga, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions.

Why it’s a big deal…
As a Senior Software Engineer, you will play a critical role in shaping the future of Conga’s AI-powered product portfolio. You’ll lead the development of scalable, production-grade solutions that bring generative AI capabilities to life, while influencing architecture, engineering best practices, and delivery execution. Your work will directly impact product innovation, platform reliability, and the ability of our teams to build intelligent, high-performing solutions at scale.

Are you the person we’re looking for?   

Related experience.

At least 6 years of professional software development experience, including significant experience building AI/ML or generative AI applications. Demonstrated success developing scalable, production-grade software solutions and leading complex technical initiatives from design through deployment.

Technical Expertise:

• Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks
• Deep understanding of software design patterns, object-oriented programming, and concurrency
• Strong experience with cloud technologies such as GCP, AWS, or Azure
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Familiarity with CI/CD practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Knowledge of generative AI frameworks such as LangChain and LangGraph, along with MLOps and AI lifecycle management
• Experience deploying and monitoring AI models in cloud environments
• Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree preferred

Education: A bachelor’s degree in Computer Science, Engineering or equivalent 

Here’s what will give you an edge… 

• Hands-on experience with advanced machine learning algorithms, including generative models, NLP, and transformers
• Knowledge of industry-standard AI frameworks such as TensorFlow and PyTorch
• Experience with data preprocessing, model evaluation, and AI model optimization
• Proficiency with relational and NoSQL databases such as MongoDB, MSSQL, and PostgreSQL
• Experience with analytics platforms such as BigQuery, Snowflake, or Tableau
• Familiarity with messaging systems such as Kafka
• Experience with test automation tools and CI/CD tooling, including Terraform and GitHub Actions
• Advanced knowledge of GCP technologies such as Vertex AI, BigQuery, GKE, GCS, and Dataflow, particularly for deploying AI models at scale 

Responsibilities:

• Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability
• Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization
• Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance
• Take ownership of architecture and technical decisions for AI/ML projects
• Mentor junior engineers, review code for adherence to best practices, and promote technical excellence across the team
• Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers
• Proactively identify and mitigate risks to support successful, on-time delivery
• Contribute to architectural design and planning for new features, ensuring solutions are scalable, reliable, and maintainable
• Conduct rigorous code reviews and provide actionable feedback that supports team growth and software quality
• Design and implement robust test suites to ensure code quality and system reliability
• Advocate for test automation and CI/CD pipelines to streamline testing and maintain service health
• Monitor and maintain the health of deployed services using telemetry and performance indicators
• Perform root cause analysis for incidents and drive preventive measures to improve system reliability
• Operate in a DevOps model, taking end-to-end ownership of features and services in production
• Create and maintain thorough documentation for code, processes, and technical decisions
• Contribute to knowledge sharing and continuous improvement across the engineering organization

#LI-BR1

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team and help build and operate the global platform behind Workato.com/go. You will work closely with engineers in the US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

Role Overview

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

Responsibilities

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with US-based engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Develop low-level internal services using Linux syscalls and networking primitives.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Improve and maintain CI/CD pipelines for scalable and secure component delivery.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

• Coordinate cross-team projects, ensuring smooth collaboration on shared goals.

• Collaborate with management to align engineering goals with company objectives.

• Perform a Tech Leader role for a group of engineers (planing, reporting, technical leading).

• Support the professional growth of other engineers by sharing knowledge and mentoring them.

Requirements

• 10+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

• Solid understanding of network security and cloud security best practices.

• Hands-on experience optimizing CI/CD workflows and automating deployments.

• Excellent analytical, troubleshooting, and communication skills.

• Experience mentoring and developing engineers, fostering professional growth, and promoting knowledge sharing across teams.

• Experience working as a technical leader - planning, reporting, and guiding engineering efforts within a team.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Why Join Us

• Build and operate a world-class cloud platform used by leading global enterprises.

• Collaborate with experienced engineers in the US and across international teams.

• Work in a highly technical environment focused on scalability, performance, and reliability.

• Contribute to an engineering culture that values ownership, craftsmanship, and innovation.
  
  Compensation:
  This is a full-time, exempt position with a salary range of $180,000.00 - $240,000.00 per year, depending on experience and qualifications. The package includes health insurance, paid time off, and a 401(k) plan.

Mission:

We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks.

At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. 

The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI’s. The team works together with all other perception and ML teams to develop the metrics and analyze results.

What You'll Do: 

• Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software.
• Drive innovation by researching and developing new large scale data warehousing and analysis.
• Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
• Build high-quality datasets to improve ML products through training & edge case validation.
• Provide statistical depth on model performance & generalization through rigorous error and change analysis.
• Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement.
• Manage project timelines, resources, and deliverables to ensure successful project execution.

What We're Looking For:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Excellent leadership, communication, and problem-solving skills.
• Proven record leading a small diverse dedicated team supporting a large user base.
• Experience in machine learning, data mining, and statistical analysis.
• Proven experience in developing and deploying large scale cloud frameworks.
• Strong programming skills in Python.
• Experience with large-scale data processing and distributed computing technologies.
  
  

Bonus Points:

• Ph.D. in Computer Science or a related field.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with machine learning in the autonomous driving domain.
• Publications or contributions to the AI/ML community.

Mission:

We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and statistical analysis. 

At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. 

The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI’s. The team works together with all other perception and ML teams to develop the metrics and analyze results.

What You'll Do:

• Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI’s for the validation of the autonomous vehicle performance.
• Drive innovation by researching and developing new large scale data analysis systems.
• Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
• Build high-quality datasets to improve ML products through training & edge case validation.
• Provide statistical depth on model performance & generalization through rigorous error and change analysis.

What We're Looking For:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, SciPy, and related data analysis frameworks.
• Experience in machine learning, data mining, and statistical analysis.
• Experience with large-scale data processing and distributed computing technologies.
• Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development.
  
  

Bonus Points:

• Ph.D. in Computer Science or a related field.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with machine learning in the autonomous driving domain.
• Publications or contributions to the AI/ML community.

Your Impact

Are you an engineer who gets excited about the challenge of making complex distributed systems observable — not just instrumenting them, but designing the infrastructure that makes traces, metrics, and logs useful at scale? In this role, you will help build and evolve Axon's next-generation observability platform, enabling the entire engineering organization to understand and operate their services with confidence.

You'll work across the full observability stack: from distributed tracing adoption (OpenTelemetry, Jaeger) to log infrastructure (Loki, Alloy) to metrics (Cortex, Prometheus, Grafana). You'll partner directly with Axon's engineering teams to drive adoption of modern observability practices and build the tooling that makes our platform self-service for the teams that depend on it.

You will be part of the Observability team within Axon's Site Reliability organization — a focused team responsible for Axon's metrics, logging, tracing, and alerting infrastructure across dozens of environments globally.

The ideal candidate has a strong infrastructure engineering background, is comfortable working across cloud-native systems, and cares about both the technical depth and the developer experience of observability. You'll thrive here if you have opinions about what good observability looks like, and enjoy the challenge of making it real in a large, fast-moving organization.

Location: This role is based out of our Seattle office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

What You'll Do

• Own and evolve Axon's distributed tracing infrastructure, including Jaeger and OpenTelemetry-based instrumentation, driving adoption across Axon's service-oriented architecture
• Build and operate Axon's log aggregation platform (Grafana Loki + Alloy), expanding use cases beyond Kubernetes event logs and reducing organizational dependency on expensive third-party log tooling (including Splunk)
• Maintain and improve Axon's metrics infrastructure (Cortex, Prometheus, Grafana) — the foundation for alerting, dashboards, and SLO tracking across all of Axon's environments
• Write internal tooling and automation that makes observability self-service: toolkit commands, agentic on-call helpers, runbook generation, and dashboard scaffolding
• Manage observability infrastructure as code via Terraform, CDK, ArgoCD, and Helm — including capacity management, cybersecurity requirements and compliance, and on-call rotation participation
• Work directly with engineering teams across Axon to define instrumentation standards, drive tracing adoption, and help teams build meaningful SLOs for their services

Basic Qualifications

• Bachelor's Degree in Computer Science, Engineering, or an equivalent highly technical field
• 7+ years of experience in SRE, platform engineering, or infrastructure engineering
• Strong Linux systems fundamentals and comfort working in Kubernetes-based environments
• Hands-on experience with one or more components of the LGTM stack: Loki, Grafana, Tempo/Jaeger, or Mimir/Cortex
• Experience with infrastructure as code — Terraform strongly preferred, CDK is a plus
• Experience with any of: Golang, Python, or Java
• United States citizen — able to gain CJIS clearance for full US production access

Preferred qualifications

• Experience deploying and operating distributed tracing systems (OpenTelemetry, Jaeger, Tempo, or similar)
• Familiarity with OpenTelemetry — instrumentation, collectors, and pipelines
• Experience with GitOps workflows
• Exposure to 24/7 high-volume systems with formal SLA requirements
• Experience with agentic AI tooling or building LLM-powered developer tools
• Ability to debug complex multi-service distributed systems

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Development Programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Your Impact

Are you an engineer who gets excited about the challenge of making complex distributed systems observable — not just instrumenting them, but designing the infrastructure that makes traces, metrics, and logs useful at scale? In this role, you will help build and evolve Axon's next-generation observability platform, enabling the entire engineering organization to understand and operate their services with confidence.

You'll work across the full observability stack: from distributed tracing adoption (OpenTelemetry, Jaeger) to log infrastructure (Loki, Alloy) to metrics (Cortex, Prometheus, Grafana). You'll partner directly with Axon's engineering teams to drive adoption of modern observability practices and build the tooling that makes our platform self-service for the teams that depend on it.

You will be part of the Observability team within Axon's Site Reliability organization — a focused team responsible for Axon's metrics, logging, tracing, and alerting infrastructure across dozens of environments globally.

The ideal candidate has a strong infrastructure engineering background, is comfortable working across cloud-native systems, and cares about both the technical depth and the developer experience of observability. You'll thrive here if you have opinions about what good observability looks like, and enjoy the challenge of making it real in a large, fast-moving organization.

Location: This role is based out of our Boston, MA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

What You'll Do

• Own and evolve Axon's distributed tracing infrastructure, including Jaeger and OpenTelemetry-based instrumentation, driving adoption across Axon's service-oriented architecture
• Build and operate Axon's log aggregation platform (Grafana Loki + Alloy), expanding use cases beyond Kubernetes event logs and reducing organizational dependency on expensive third-party log tooling (including Splunk)
• Maintain and improve Axon's metrics infrastructure (Cortex, Prometheus, Grafana) — the foundation for alerting, dashboards, and SLO tracking across all of Axon's environments
• Write internal tooling and automation that makes observability self-service: toolkit commands, agentic on-call helpers, runbook generation, and dashboard scaffolding
• Manage observability infrastructure as code via Terraform, CDK, ArgoCD, and Helm — including capacity management, cybersecurity requirements and compliance, and on-call rotation participation
• Work directly with engineering teams across Axon to define instrumentation standards, drive tracing adoption, and help teams build meaningful SLOs for their services

Basic Qualifications

• Bachelor's Degree in Computer Science, Engineering, or an equivalent highly technical field
• 7+ years of experience in SRE, platform engineering, or infrastructure engineering
• Strong Linux systems fundamentals and comfort working in Kubernetes-based environments
• Hands-on experience with one or more components of the LGTM stack: Loki, Grafana, Tempo/Jaeger, or Mimir/Cortex
• Experience with infrastructure as code — Terraform strongly preferred, CDK is a plus
• Experience with any of: Golang, Python, or Java
• United States citizen — able to gain CJIS clearance for full US production access

Preferred qualifications

• Experience deploying and operating distributed tracing systems (OpenTelemetry, Jaeger, Tempo, or similar)
• Familiarity with OpenTelemetry — instrumentation, collectors, and pipelines
• Experience with GitOps workflows
• Exposure to 24/7 high-volume systems with formal SLA requirements
• Experience with agentic AI tooling or building LLM-powered developer tools
• Ability to debug complex multi-service distributed systems

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Development Programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Role overview

CarGurus is looking for a Senior Security Engineer to add to our growing Threat Detection and Response (TD&R) Team. This is a hands-on technical role that will build our first line of defense against cybersecurity threats in a complex and evolving landscape. You will be responsible for our detection and response lifecycle, identifying and preventing threats from impacting our employees, customers and other stakeholders. As a Senior Security Engineer, you will have the opportunity to apply your experience  to provide technical leadership to the team, build a platform to identify and stop threats, work with data to solve complex security challenges, and ultimately defend CarGurus against critical threats.

What you'll do

• Build a platform to detect threats to the company using an engineering-first approach that prioritizes reliability, maintainability and scalability
• Leverage AI and automation to streamline detection and response operations in a safe and reliable manner
• Onboard, normalize and optimize security logging data to support detection engineering, applied ML models, and efficient querying during incidents.
• Apply an engineering mindset to develop high-fidelity, rule-based and ML-driven detections as code, utilizing automated testing and CI/CD pipelines for deployment.
• Own the end-to-end response to alerts, threats, and security incidents, including participating in on-call rotations
• Proactively monitor the threat landscape to identify and track emerging threats, ensuring that appropriate detective and preventative controls are deployed
• Partner with development teams to design controls for a cloud first infrastructure (AWS, Kubernetes, etc)

What you'll bring

• 5+ years of experience in software, security, and/or data engineering
• Strong desire to apply the latest technology including AI and ML to defend against threats
• Experience with data pipelines and data engineering, especially centralized logging, SIEM tools, and data lakes
• Desire to measure the success of your work with quantitative tools like Precision and Recall
• Proficiency in at least one programming language like Python, Go or similar
• Proven experience with cloud infrastructure and technologies like AWS, Kubernetes, containers, IaC, etc
• Proven experience with good engineering practices like git/GitHub and CI/CD automations
• Familiarity with tactics, techniques, and procedures used by threat actors
• Experience detecting and responding to cybersecurity incidents
• Strong passion for continuous learning, especially relating to cybersecurity and technology
• Team player with strong oral and written communication skills
• Effective ability to make decisions independently and provide clear technical guidance to others

Position Overview:

This position has design, development and maintenance responsibility for the software programs, databases and processes associated with our core business environments. This would include working with a small team to support a broad range of applications in research, investments, front office and trading applications.  The role requires direct interaction with end users and excellent analytical and communication skills. 

Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What You’ll Do:

• Work on an engineering team to design and develop applications to support the business units
• Assume responsibility for ongoing maintenance of existing core business applications
• Work collaboratively within IT and various business units across the firm

We’re Looking for Teammates With:

• B.S. or M.S. in computer science or equivalent
• 10+ years experience in software development
• 5+ years experience in financial management / services
• Solid knowledge of modern software design principles, concepts, and practices
• Significant experience with Python and associated technologies
• Significant experience with relational databases and SQL
• Knowledge of C# / Microsoft stack a plus
• Experience leading a technical team a plus
• Experience with cloud-based development (AWS preferred)
• Experience with a major cloud provider (e.g., AWS, Azure, or GCP)
• Building and deploying applications in a cloud environment
• Infrastructure as code (Terraform, CloudFormation, etc.)
• Containers and orchestration (Docker, Kubernetes)
• Monitoring, logging, and basic cloud security practices

The base salary range for this role is $190,000 – $215,000 per year. Actual compensation will be determined based on a candidate’s skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian’s comprehensive benefits program, which includes health, retirement, and wellness offerings.

Senior Software Engineer

As a Senior Software Engineer, you will work with a small team of full-stack developers that work on all server-side aspects of HVAC home automation and security. Our mandate is very broad and includes but not limited to processing HVAC-related events, provisioning equipment, monitoring alerts, testing-automation and integrating a wide and diverse set of devices with the Alarm.com connected ecosystem. Our software development includes working on backend services, websites, and database design that make up our whole ecosystem.

As a Senior Software Engineer, you will have the opportunity to work across a variety of technical areas. Typical projects will involve diverse technologies and skills, and require close collaboration with device engineers, business partners, and other engineering teams. Strong multi-tasking skills and the ability to self-learn are must-have attributes. Candidates must be able to communicate well within a team environment and work independently on self-directed tasks.

Very few small companies innovate and develop across such a broad range of technologies as Alarm.com. This position is ideal for the candidate who seeks a small, friendly company culture where one can work closely with smart and highly productive people across a very interesting spectrum of wireless, software, and hardware/device technologies to develop outstanding consumer products.

WHAT’S IN IT FOR YOU?

• Collaborate with outstanding people: We have a strong focus on teamwork, and we work to create a collaborative and welcoming environment that enables our teams to excel.
• Make an immediate impact: You can expect to be given real responsibility for bringing new technologies to the marketplace. You will be empowered to perform as soon as you join the team!
• Work with the latest technologies: You’ll gain exposure to a broad spectrum of IoT and SaaS technology. Our tech stack includes C# .NET, SQL Server, Kafka, Ember.js, Node.js, Python, K8s, Azure, Redis, Artemis as well as native iOS and Android applications.
• Be Empowered: We don’t want to micro-manage you. We barely want to tell you what to do. We want you to own stuff and bring your experience to make those products best in class.
• Focus on fun: Alarm.com places high value on our team culture. We even have a committee dedicated to hosting a stand-out holiday party, happy hours, and other fun corporate events.
• Alarm.com values working tougher and collaborating in person. Our employees work from the office 4 days a week.

WHAT CAN YOU DO FOR ALARM.COM?

• Lead and develop full stack software for a wide variety of platforms and technologies.
• Take part in the entire project life cycle, from requirements development to deployment with lots of cross-team collaboration.
• Engage in the research, evaluation, and application of new technologies and methodologies to solve challenging project goals.
• Exercise good judgment. Know when to work quickly, and when to build a robust solution.
• Bring your ideas! We want our engineers to collaborate on product development, not blindly build to a spec.
• Other duties as assigned. 

WHAT DO YOU NEED?

We are seeking someone who has: 

• Bachelor’s degree in computer science, computer engineering, a related field or equivalent work experience
• 5+ years of professional software development experience
• Experience leading projects to completion and mentoring other engineers
• Strong object-oriented programming skills
• Experience with C#, .NET Core is a plus
• Experience with database design and development

We would love it if you had some of the below (but it is fine if you don’t): 

• Experience working with high-availability, high-throughput services
• Experience working in an enterprise-scale microservices architecture
• Experience with external facing APIs and/or third-party platform integrations
• Familiarity with distributed event streaming platforms, such as Kafka
• Experience with JavaScript development using an established JS framework, such as Ember/React/Angular

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

WHY WORK FOR ALARM.COM?

• Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers.
• Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the Alarm.com team!
• Gain well rounded experience: Alarm.com offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Focus on fun: Alarm.com places high value on our team culture. We even have a committee dedicated to hosting a stand-out holiday party, happy hours, and other fun corporate events.
• Alarm.com values working together and collaborating in person.  Our employees work from the office 4 days a week.

COMPANY INFO

Alarm.com is the leading cloud-based platform for smart security and the Internet of Things. More than 7.6 million home and business owners depend on our solutions every day to make their properties safer, smarter, and more efficient. And every day, we’re innovating new technologies in rapidly evolving spaces including AI, video analytics, facial recognition, machine learning, energy analytics, and more.  We’re seeking those who are passionate about creating change through technology and who want to make a lasting impact on the world around them. 

For more information, please visit www.alarm.com.

COMPANY BENEFITS

Alarm.com offers competitive pay and benefits inclusive of subsidized medical plan options, an HSA with generous company contribution, a 401(k) with employer match, and paid holidays, wellness time, and vacation increasing with tenure. Paid maternity and bonding leave, company-paid disability and life insurance, FSAs, well-being resources and activities, and a casual dress work environment are also part of our outstanding total rewards package!

Alarm.com is an Equal Opportunity Employer

In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:
Alarm.com understands the value of professional recruiting services.  However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. If you are interested in working with Alarm.com, please email your company information and standard agreement to RecruitingPartnerships@Alarm.com.

JR105530

Role overview

The DevX Tools team is hiring a Software Development Engineer II. The DevX Tools team is part of Engineering Platform's Developer Experience organization. We are responsible for improving the developer experience through tooling, automation, and centralization of critical information needed by developers across the organization. Our tools — including an Internal Developer Portal and an Automated Slack Messaging Systems are used daily by 280+ engineers and are foundational to how CarGurus ships, discovers, and builds software. 

As a Software Development Engineer II (IC2), you will contribute to building and maintaining the internal platforms and tools that empower every product engineering team at CarGurus. You'll work alongside experienced engineers in a collaborative, hybrid environment and grow your skills across the full stack, from backend services and APIs to cloud-native integrations and agentic automations.

What you'll do

• Design, develop, test, deploy, and operate well-architected software systems that improve the developer experience across CarGurus engineering. 
• Build features for Showroom, our internal developer portal that powers deployments, governance, software catalogs, and self-service workflows. 
• Support initiatives such as jobs replatforming, AI-powered code review tooling, agent-driven provisioning workflows, AI-powered AWS infrastructure provisioning and CI/CD pipeline modernization. 
• Facilitate the modernization of an internal developer portal into an AI-first developer platform, introducing AI-powered tooling to streamline workflows, enhancing the developer experience, and supporting large-scale, multi-repository engineering environments.

What you'll bring

• 2+ years of professional software development experience. 
• Strong foundation in Java and familiarity with object-oriented design, algorithms, and data structures.
• Experience building web applications or backend services, ideally with Spring Boot / Spring Framework. 
• A systematic approach to debugging issues within a service or module, including performance impacts. 
• Understanding of the testing pyramid and experience writing automated tests at multiple levels. 
• Familiarity with AWS services, Kubernetes, infrastructure-as-code practices and CI/CD tooling. 
• Exposure to front-end technologies (JavaScript, React, Remix) for building developer-facing UIs is a plus. 
• Interest in AI-powered developer tool and agentic workflows

We're looking for a Senior Software Engineer to join the Contributory Network team within Data Acquisition - one of ZoomInfo's most strategically important initiatives.

The Contributory Network is building the platform that ingests, transforms, and processes first-party data contributed by thousands of customers through their CRM, email, and recording provider integrations. This data powers a suite of intelligence products - from competitive benchmarking and buyer committee insights to predictive market timing - that are impossible to build any other way.

This role demands a driver. We need someone who takes ownership, pushes through ambiguity, unblocks themselves and others, and relentlessly moves work forward. You won't wait for perfect specs or complete clarity - you'll carve the path, make decisions, and deliver. If you thrive when given a hard problem and the autonomy to solve it, this is your role.

What You'll Do

• Own and drive the design and implementation of large-scale data pipelines that ingest, validate, transform, and enrich first-party contributed data from CRM systems, email providers, and recording platforms
• Architect resilient ETL/ELT pipelines handling massive volumes of contact data, opportunity metadata, engagement signals, and activity patterns
• Take initiative on complex technical challenges - identify problems proactively, propose solutions, and execute with urgency
• Build streaming and batch processing systems for real-time and scheduled data flows using Kafka, Pub/Sub, Apache Beam, or similar
• Establish data quality frameworks, ensuring accuracy, consistency, and completeness across contributed data
• Define and implement observability, monitoring, and alerting for pipeline health, throughput, cost, and data quality metrics
• Drive technical design decisions and guide implementations from concept to production
• Mentor and elevate other engineers on the team through code reviews, pairing, and knowledge sharing
• Partner with product, platform, and data science teams to deliver high-impact features on tight timelines
• Influence technical direction across the Contributory Network initiative and the broader Data Acquisition organization

Must-Have Qualifications

Data Engineering & Pipelines

• 5+ years of professional software engineering experience with a strong focus on data engineering
• Proven track record of building and operating production data pipelines at scale
• Deep experience with Python and/or Java
• Hands-on expertise with data processing technologies: Apache Beam, Apache Airflow, Spark, Google Dataflow, or DataProc
• Strong experience with streaming systems (Apache Kafka, Google Pub/Sub, or similar)
• Experience with cloud platforms, preferably GCP (BigQuery, GKE, Dataflow)
• Solid understanding of data modeling, schema evolution, and data quality management
• Experience designing and operating large-scale ETL/ELT pipelines processing terabytes of data

Technical Leadership & Drive

• Demonstrated ability to drive complex technical initiatives end to end - from scoping through delivery
• Track record of operating with high autonomy and a bias toward action
• Ability to push through ambiguity, make pragmatic decisions under uncertainty, and unblock progress
• Experience influencing technical direction within a team or across teams
• Strong code review and technical mentorship skills
• Proven ability to balance quality with velocity - you ship, iterate, and improve

General

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• Exceptional interpersonal skills with a proven ability to build productive cross-departmental relationships
• Strong communicator who can explain complex systems to diverse audiences
• Entrepreneurial mindset - comfortable pioneering new capabilities and wearing multiple hats

Nice to Have

• Experience with Kubernetes (GKE/EKS) for running distributed workloads
• Familiarity with multi-cloud environments (GCP + AWS)
• Experience with Snowflake, BigQuery, Starburst/Trino, or similar query engines
• Experience with Terraform or infrastructure-as-code
• Knowledge of data integration patterns with CRM systems, email providers, or recording platforms
• Exposure to AI/LLM-based data processing approaches
• Experience in a B2B data company or data-as-a-product environment
• Experience with Apache Spark at expert level

What Sets This Role Apart

This isn't a role where you maintain existing systems and wait for tickets. The Contributory Network is a greenfield strategic initiative - you'll be building foundational infrastructure that directly powers intelligence products worth six figures from consulting firms, products that literally cannot exist without the data platform you build.

We need someone who goes through walls, not around them. Someone who sees a blocker and finds a way. Someone whose default mode is action, not analysis paralysis.

Why This Role Matters

The Contributory Network is ZoomInfo's strategic moat. It's how we pull away from competitors permanently by harnessing first-party data from thousands of companies to create intelligence no other source can offer. The data pipelines you build will power performance benchmarking, buyer committee intelligence, market timing signals, verified intent scoring, and fraud prevention - all at scale.

You'll be joining at a pivotal moment: the initiative is high-visibility, the team is growing, and the opportunity to define how contributory data acquisition is done at ZoomInfo is yours to shape.

#LI-AR2

#LI-Hybrid

CarGurus is seeking a Senior DevOps Engineer to join our Cloud Infrastructure team. This team is responsible for providing a reliable, secure, and consumable AWS based platform for revenue-generating applications and the product engineering teams behind them.

In this role you will be a key owner of the cloud platforms that power our global automotive marketplace, and you will help build opinionated, self-service infrastructure that lets engineers ship fast, safely, and with confidence. We are looking for a resourceful, curious individual who is energized by the prospect of designing thoughtful, scalable platforms that are essential to engineers across the entire company.

Role overview

Our team is responsible for designing and operating the core cloud infrastructure at CarGurus. This includes managing domains such as governance, cost attribution, networking, serverless workloads, and OS configuration/orchestration. We also handle CarGurus' edge infrastructure (registrars, DNS, CDN) and maintain essential shared engineering systems like GitHub, Artifactory, and Rundeck, which are critical for how our engineers build, deploy, and operate services.

What you'll do

• Platform Development & Evolution: Design, build, and operate CarGurus' production infrastructure in collaboration with support and build/delivery platform teams. Evolve compute, storage, and data platforms on AWS (e.g., S3, EC2, EKS, ELB, Route53, IAM).
• Automation & Infrastructure-as-Code (IaC): Drive IaC and automation practices (Terraform, Chef, Git, GitHub Actions, Concourse) to ensure secure, repeatable lifecycle operations.
• Cloud Governance: Shape and implement cloud governance, tagging, and reporting standards to support resource attribution and ownership.
• Networking & Edge Operations: Design and operate cloud networking, data protection mechanisms, and edge access components (Fastly CDN, Route53, HAProxy, Datadome).
• Self-Service & Developer Workflow: Utilize, support and enhance self-service platform offerings using AWS, AI and IaC patterns via Terraform. 
• Shared Tools Ownership: Own and improve shared production tools and platforms such as Rundeck, GitHub, and Artifactory.
• Incident Management: Participate in incident response and on-call rotation.
• Mentorship & Documentation: Create and maintain documentation to facilitate the adoption and operation of platform services.
• Innovation: Utilize AI-assisted design and internal tools to explore new architectures, validate trade-offs, and accelerate the design and evolution of platform services and infrastructure.
• Agile Practices: Participate in the team's agile workflow and ceremonies.

What you'll bring

• Cloud Infrastructure & Operations: Deep experience operating production workloads in public/private cloud environments, utilizing role-based security, APIs, and production telemetry (metrics, logs, alerts) to enhance reliability and performance.
• Infrastructure as Code & CI/CD: Extensive background with infrastructure as code, configuration management, and CI/CD pipelines such as Terraform, Chef, Ansible, Puppet, GitHub Actions, or similar.
• Linux/Unix & Programming: Strong, hands-on Linux/Unix experience and proficiency in at least one high-level programming language such as  Python, Ruby, Go or similar.
• Container/Orchestration: Experience with container or VM orchestration platforms such as Kubernetes/Helm/EKS, OpenShift, VMware, or similar.
• Networking & Security: Solid understanding of IP network routing, DNS, load balancing, security, and edge/CDN concepts.
• Web Application Familiarity: Familiarity with large-scale Java web application development and production operations, or similar high-volume environments.

Core Competencies

• Ownership & Communication: Proven ability to manage projects and communicate clearly and effectively with stakeholders.
• Partnership with Stakeholders: Proactive approach to partnering with cross-functional stakeholders to align infrastructure strategy with business goals and drive shared outcomes.
• Problem-Solving: Self-starter mindset with strong curiosity and a hands-on bias for problem-solving. Willingness to take calculated risks to deliver elegant solutions.
• Decision Making: Comfortable navigating ambiguity to uncover root drivers and making practical, well-reasoned design decisions.

Role overview

The DevX Pipelines & Automation team is hiring a Principal Software Engineer. The team plays a crucial role in enabling faster time-to-market while maintaining high quality. This position involves contributing to the continuous modernization of the platform, with a focus on self-service pipelines and ephemeral environments. The ideal candidate is passionate about Continuous Delivery and platform development, with a strong background in supporting complex software systems and an eagerness to drive efficiency in software delivery processes.

What you'll do

• Develop and enhance CarGurus' Pipeline-as-a-Service utilizing Go and Java.
• Expand the development environment infrastructure to provide ephemeral, hermetic environments.
• Scale the production CI/CD infrastructure to accommodate future demands.
• Manage and enforce governance strategies that promote environmental parity across services and artifacts and ensure high quality.

What you'll bring

• 8+ years of experience as a professional Software Engineer, including 3+ years serving as a technical lead or principal engineer working with Golang, Java or similar languages
• Proficiency with containerization and cloud environments.
• Knowledge in configuration management for distributed systems across multiple environments.
• Outstanding written and verbal communication abilities, with a demonstrated talent for translating technical concepts for both engineering and business audiences.
• Consistent record of being self-motivated, resourceful, and proactive in driving projects and business goals.
• A high-level understanding of Java, Python, or Bash/Unix scripting.
• Familiarity with CI/CD operations, tooling, continuous deployment, and related technologies in a Kubernetes environment.
• An aptitude for leveraging AI tools such as Windsurf, Cursor, or similar to enhance software development and operational efficiency.

Role overview

The Developer Experience (DevX) Architecture team at CarGurus is looking for an Engineering Manager to lead a team focused on accelerating developer productivity and delivering architectural improvements for CarGurus Engineering.  The results of your work will impact hundreds of engineers across dozens of product teams on a daily basis.

You and your team will take on complex, cross-cutting projects: defining new templates and processes, re-architecting core components, integrating new libraries and frameworks, improving backend performance, and building AI-powered developer tools that give CarGurus engineers a faster and better experience. To succeed in this role, you’ll partner closely with engineers and leaders across many teams, learn and adapt quickly, and translate ambiguous problems into clear, high-impact initiatives. You will own your projects end-to-end, lead a team of talented engineers, and collaborate with fellow engineering managers and product partners to solve interesting problems with broad scope.

What you’ll do

• Lead and grow a high-performing DevX engineering team, providing coaching, feedback, and clear expectations.
• Set and communicate architectural direction for developer experience, in partnership with Staff/Principal engineers and other platform teams. 
• Own a roadmap of technical investments: propose ideas, shape scope, provide estimates, measure, and sequence work to maximize impact on engineering effectiveness. 
• Partner across the organization with engineers, managers, and product to deeply understand their pain points and design pragmatic solutions that scale. 
• Drive predictable delivery by breaking down ambiguous problems into small, testable increments and releasing value iteratively. 
• Lead the full software development lifecycle for your team’s services and tools: design, implementation, testing, deployment, monitoring, and continuous improvement, with a strong emphasis on clean, well-tested, and efficient code. 
• Identify high leverage/ROI opportunities for AI-assisted development (code assistants, test generation, internal agents), partner with security and compliance to define guardrails, and integrate these capabilities into our SDLC
• Use technologies like Java, Spring Boot, AWS, Kubernetes, and AI-assisted development tools to improve our core architecture and platforms. 
• Advance and champion engineering best practices (reliability, observability, performance, and security) and help teams adopt them through patterns, templates, and guidance. 
• Strategically invest in critical platform areas, such as authentication and other shared services, to reduce risk and unlock faster delivery for product teams. 

What you’ll bring

• 5+ years of hands-on software design and development experience building and operating production systems. 
• 3+ years in an Engineering Manager or equivalent technical leadership role, leading teams that ship software in production. 
• Experience building and operating large-scale, performant web applications, and familiarity with modern technologies and patterns that enable them (distributed systems, microservices, cloud-native architectures, observability, etc.). 
• Hands-on experience with modern strongly typed backend languages (Java, C#, etc) and cloud platforms (AWS, GCP, etc)
• Hands-on experience with modern AI tools (e.g., code assistants, test generation, or internal agents) and a perspective on how to responsibly apply them to improve developer experience.
• Strong project management and collaboration skills, including experience working across multiple teams and stakeholders in an iterative, agile environment.
• A people-focused technical leader with high emotional intelligence, who can motivate, coach, and develop engineers at different levels. 
• A clear, adaptable communicator who can tailor your message for audiences ranging from junior engineers to senior business leaders and third-party vendors. 
• A curious, growth-oriented mindset—you enjoy learning new domains, experimenting with new tools, and continually expanding your capabilities. 
• Bachelor’s degree in Computer Science or equivalent practical experience.

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar Games is seeking a Senior Software Engineer in Data Engineering to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games.   

The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance. In collaboration with Data Engineers, Machine Learning Engineers, and other Software Engineers, the candidate will empower the team of Analysts and Data Scientists to deliver data driven insights and applications to company stakeholders.  

This is a full-time, in-office position based out of Rockstar’s newly renovated game development studio in Andover, MA.

WHAT WE DO

• The Rockstar Games Online Services team builds the technology foundation that powers our games and delivers world-class player experiences.  
• Our Data Engineering group manages petabyte-scale data, integrating dozens of streaming and batch sources with strict requirements for reliability, compliance, and low-latency processing. 
• We approach data engineering with the rigor of software engineering by applying modern practices such as clean architecture, modular design, and automated testing. Our focus is on building scalable, reusable platforms and frameworks that enable our partners in Data Science and Game Development to deliver insights and unlock new possibilities for players. 

RESPONSIBILITIES

• Design, build, and maintain high-throughput streaming and batch data processing services, with a primary focus on raw and bronze-level ingestion. 
• Develop and operate stream–based applications responsible for real-time data transformation, enrichment, validation, and routing. 
• Own and evolve event schemas and data contracts, including Avro schemas and Schema Registry governance. 
• Ensure scalability, fault tolerance, and performance of streaming and ingestion pipelines under heavy load. 
• Contribute to platform-level concerns such as deployment automation, observability, operational tooling, and CI/CD. 
• Participate in the design and implementation of cloud-native data infrastructure supporting real-time and batch workloads. 

REQUIREMENTS

• 5+ years of professional experience building production software systems, preferably in a distributed or data-intensive environment. 
• Strong experience with Java (and/or Scala) as well as Python, in backend or data processing applications. 
• Experience designing and operating streaming systems using Kafka or Kafka Streams (or similar). 
• Experience working with event-driven architectures, including schema evolution and compatibility. 
• Experience building real-time and/or near-real-time data pipelines at scale. 
• Solid understanding of distributed systems concepts (partitioning, fault tolerance, backpressure, exactly-once/at-least-once semantics). 
• Familiarity with Avro, Protobuf, or similar serialization formats and schema governance practices. 

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience with Databricks, particularly for ingestion, bronze-layer processing, or structured streaming. 
• Experience deploying and scaling applications in containerized environments (e.g., Kubernetes, AKS). 
• Experience working with artifact repositories (e.g., Artifactory, ProGet, Maven repositories). 
• Experience with Infrastructure-as-Code (e.g., Terraform, Databricks Asset Bundles). 
• Familiarity with the Microsoft Azure cloud ecosystem. 
• Familiarity with Apache Spark. 
• Familiarity with CI/CD pipelines, automated testing, and deployment workflows. 

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                             

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-BB1

Position Overview:

This role is responsible for building and evolving Acadian’s Identity and Configuration Platform. A core team which enables secure, scalable and seamless access to systems, across both cloud and on-prem environments. You will develop APIs, services and tooling to standardize identity, configuration and operational patterns across the firm. The goal is to make secure access simple, consistent and durable for every team at the firm, directly or indirectly.

This is a hands-on platform engineering role that blends software development, architecture and SRE operations. You will be expected to design, build, support and operate critical infrastructure, build in security by default, making it easy to consume patterns and services. This could range from enterprise identity management to production level SSO, DNS, Certificate services and Secrets Management, EKS and more. You will act in a building and advisory capacity with deep technical knowledge.

Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What You’ll Do:

• Build and maintain APIs, services, libraries and patterns to standardize services we own across the stack.
• Develop reusable platform capabilities to reduce duplication and eliminate one-off solutions across teams.
• Improve the daily experience of all users at the firm within our domain.
• Partner with engineering teams to integrate platform services into their applications and workflows.
• Operate and support critical platform services, including participation in an on-call rotation.
• Automate operational workflows to improve reliability, observability and incident response.
• Contribute to architectural direction and continuously improve the firm’s identity and access strategy.
• Mentor peers and help raise the engineering bar across the organization.
• Team operates in pair programming sessions for better than 90% of the working day.

We’re Looking for Teammates With:

• BS in in Computer Science, Computer Engineering, Electronic Engineering, Information Technology, or a directly related field plus 3 years of related software engineering experience. (7 years of experience without BS degree).
• At least 2 years of prior experience, financial services exposure is a plus.
• Strong backend engineering experience in one or more of: Go, Python or TypeScript.
• Comfortable working across Linux-based systems and scripting (e.g., Bash, PowerShell)
• Experience with Infrastructure as Code (Terraform preferred)
• Experience building APIs, services, or shared platform components used by other engineers
• Solid understanding of software design principles, including modularity, testability, and maintainability
• Hands-on experience with AWS and cloud-native architecture.
• Familiarity with Kubernetes (EKS preferred) and containerized systems
• Understanding of authentication and authorization concepts (OAuth2, OIDC, SAML, tokens) (preferred)
• Experience with identity providers (e.g., Okta, Entra ID) (preferred)
• Claude, ChatGPT, Cursor and other AI model experience a plus.

The base salary range for this role is $180,000 – $200,000 per year. Actual compensation will be determined based on a candidate’s skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian’s comprehensive benefits program, which includes health, retirement, and wellness offerings.

How you will make an impact:

Engineering at Iterable is responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive to non-technical users is extremely important. Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

One of our core values is Growth Mindset and Iterable is a company where everyone can continuously learn. If this is an idea that excites you, please do apply as we value applicants for the skills they bring beyond a job description

Team Description? 

How you will make a difference:

As a Senior Software Engineer working on the User Data Infrastructure team, you will:

• Design and develop software for a highly scalable and reliable multi-tenant system
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Enhance observability of data at ingestion, query, and storage layers
• Improve automation of our Elasticsearch cluster management system

We are looking for people who have :

• Relevant industry experience building production-ready, scalable applications
• Proficiency  in at least one programming language (ideally Scala and/or Java)
• Experience with Elasticsearch
• Experience with NoSQL and SQL databases  
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala, Java
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Kafka, AWS, Pulsar
• Other Relevant Technologies: Docker / Kubernetes

Bonus Points

• Experience working with large code base
• Experience with functional programming and the JVM

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

About the Role:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. 


You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients.

You’re already a technical leader trusted at executive levels when the conversation shifts from “we need to secure our data” to “we need to enable safe, compliant AI at scale.” 

You’re already an expert on data/AI security and a proven enterprise sales engineer. Now it’s time to join the home of Data and AI Trust. 

You’ve already seen our new release of Agent Commander, but you haven’t seen what’s coming next. After the acquisition of Securiti AI, Veeam is even further into the forefront of data resilience, protection, trust, and the acceleration of safe AI at scale.

Are you ready for an exciting new challenge at enterprise scale?

What You’ll Do: 

• Serve as the primary technical data protection expert for Securiti AI and Veeam solutions throughout the pre-sales cycle.
  
• Lead discovery to translate risk, architecture, and business goals into a practical solution approach.
  
• Design and deliver tailored demos and hands-on proof-of-concepts that prove value in the customer’s environment.
  
• Drive technical conversations on AI Trust, Data Discovery, DSPM, Data Access & Governance, and Compliance (including GDPR, HIPAA, PCI-DSS).
  
• Provide solution guidance across AWS, Azure, and GCP, including cloud security best practices and identity/access concepts.
  
• Partner cross-functionally with sales, product, engineering, and customer success to ensure clean technical handoff and customer confidence post-sale.
  
• Hone your professional development through hands-on experimentation, team collaboration, robust onboarding, and more.
  
• Work ~80% remote, with client-facing travel usually 1-2 short trips per month.
  
  

What You’ll Bring (Required): 

• Extensive enterprise sales experience in data protection, cloud security, networks, and AI.
  
• Proven ability to quickly develop trust and credibility with both technical and business stakeholders.
  
• Strong technical leadership foundation in enterprise data protection, cloud security, networks, and AI.
  
• Hands-on experience with AWS, Azure, or GCP (multi-cloud exposure strongly valued).
  
• Deep working knowledge of data privacy/security and compliance programs, especially GDPR, HIPAA, and PCI-DSS, plus data governance and access controls.
  
• Ability to build and run compelling demos and POCs while earning trust as a customer-facing technical lead.
  
• Practical technical fluency with areas such as Linux, Kubernetes/containerized environments, and modern cloud/data architectures.
  
• Strong expertise with DSPM, DLP, data discovery approaches (e.g., patterns/keywords/dictionaries/regex/exact matching) and with common cloud/data systems (e.g., object storage and enterprise databases/warehouses).
  
  

Preferred (strong differentiators): 

• Experience applying or discussing GenAI security in real enterprise contexts, including RAG (Retrieval-Augmented Generation) concepts and vector databases / indexing approaches.
  
• Exposure to CASB / SASE / DLP technologies and how customers operationalize them.
  
• Relevant certifications (CISSP, CISM, AWS/Azure/GCP).

#LI-JC3

Your Impact

As a Senior SRE on the APX SRE CloudOps team, you will design and build the cloud infrastructure and automation platforms that Axon's product engineering teams depend on. You will architect solutions for multi-cloud environments (Azure, AWS), FedRAMP compliance boundaries, and large-scale Kubernetes platforms serving production workloads across multiple regions. You will spend a significant portion of your time writing code: building services, APIs, and internal tooling using languages like Go and Python. You will also participate in on-call rotations and incident response, using operational experience to drive reliability improvements and inform platform investment. This role combines software engineering depth with cloud architecture at scale and production ownership.

Location - This role is based out of our Atlanta, Seattle, or Boston office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

What You'll Do

• Design and implement services, APIs, and automation tooling that improve cloud infrastructure reliability, scalability, and operational efficiency.
• Write production-quality code in Go, Python, or similar. Lead design reviews and set code quality standards within the team.
• Build robust, easy-to-use foundational platforms and tools that enable engineering teams to provision services rapidly, consistently, securely, and cost-effectively.
• Architect cloud infrastructure across Azure and AWS, including Kubernetes platforms, networking, and identity boundaries.
• Participate in on-call rotations and incident response. Use operational experience to identify systemic reliability risks and drive platform improvements.
• Foresee and mitigate risks in infrastructure design: single points of failure, scaling bottlenecks, security gaps, and compliance drift.
• Influence and educate the engineering organization to adopt new and improved architectural patterns.
• Leverage AI tooling and agentic workflows to accelerate engineering delivery and operational automation.
• Provide robust documentation for use by engineers to promote self-service.
• Mentor junior and mid-level engineers through code review, design guidance, and pairing.

What You Bring

• This position involves handling of classified federal data; under federal regulations, it is open to U.S. citizens only.
• 8+ years of applicable experience in software engineering, cloud infrastructure, or site reliability engineering.
• Experience designing and operating cloud platforms at scale across Azure, AWS, or similar.
• Proficiency in one or more managed languages (Go, Python, Java, C#) in the context of building services, not just scripting.
• Experience architecting and operating Kubernetes platforms (AKS, EKS, or similar) at production scale.
• Experience with Infrastructure as Code (Terraform, CloudFormation, CDK, or similar) for managing multi-environment, multi-region infrastructure.
• Experience utilizing CI/CD platforms to automate provisioning infrastructure, software builds, tests, and releases.
• Experience using observability tools such as APM, logging, and metrics to assist with debugging issues.
• Track record of leading design reviews, writing technical proposals, and setting engineering standards within a team.
• Builder-operator mindset with proven production ownership (uptime, SLOs, on-call, incident leadership).
• Experience mentoring engineers and conducting technical interviews.
• Experience using AI-assisted development tools to accelerate engineering workflows is a strong plus.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Development Programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

How you will make an impact:

As a Software Engineer II at Iterable, you'll independently develop, maintain, and deliver moderate-complexity projects on your team. You'll be working with the Delivery team which builds and maintains the pipeline responsible to getting messages to end users on time. Ultimately, we help enable our customers to provide relevant, timely, and joyful experiences to their own users.

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You are recognized as a subject matter expert in a particular focus area and consistently demonstrate high-quality, on-time delivery. You take ownership of the full lifecycle of your code — from design through production monitoring and maintenance. One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You'll get to:

• Execute on core work with minimal guidance in a way that increases team velocity while maintaining high quality
• Break down projects into milestones, provide accurate cost estimates, and proactively keep stakeholders informed
• Architect and develop solutions on a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Write well-structured, maintainable, documented, and tested code with an eye toward future reuse and modularization
• Diagnose and fix tricky bugs, prevent incidents through appropriate testing, and maintain a track record of drama-free deploys
• Provide in-depth code reviews and contribute to design reviews with respectful, effective communication
• Recognize potential scalability issues, bring them to the Architecture Support Group (ASG), and participate in remediation
• Collaborate actively to unblock teammates, give and receive hard feedback with respect and empathy, and solicit input from people of diverse backgrounds
• Participate in recruiting and develop effective interviewing skills

We are looking for people who have:

• 3+ years of relevant software development experience
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience building production-ready, scalable web applications
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems
• Strong interpersonal skills and the ability to collaborate in a highly remote/distributed environment
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning — always improving yourself and the team around you
• Willingness to take on-call responsibilities
• Fluency in English (verbal and written)

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis, CRDB
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points:

• Experience with end-to-end, integration, and performance testing
• Exposure to enterprise systems

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $114,500 - $188,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

As a Senior Software Engineer at Iterable, you'll be responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive for non-technical users is extremely important. 

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You will be working with the Analytics Application team that provides accurate and actionable insights to our customers so that they can establish a clear understanding of the effectiveness of their marketing efforts. Ultimately, we help enable our customers to provide the most relevant and joyful experiences to their own users.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You’ll get to:

• Own the backend of the product with a huge amount of autonomy
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Provide direction for your team and guide standards across the Engineering organization
• Improve Engineering processes, tooling, and efficiency
• Mentor and guide team members 

We are looking for people who have:

• Relevant industry experience building production-ready, scalable web applications
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems. 
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points

• Experience with large-scale performance testing 
• Experience with data processing and advanced methodologies
• Experience with functional programming and the JVM
• Experience using AI IDEs or workflows

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

Alarm.com provides the leading cloud platform for smart security and IoT, powering millions of home and business experiences. Our systems integrate devices, cloud services, APIs, and event-driven workflows into a unified ecosystem used by internal teams and external partners around the world.

The Device Lifecycle & Integrations (DELI) team builds the platforms and services behind the connected devices powering millions of Alarm.com homes and businesses.

Role Summary

We are hiring a Software Engineer II to contribute to the design and development of backend services, APIs, and full-stack features that power Alarm.com's device integrations.

In this role, you will work across the full development lifecycle — from requirements and design through implementation, testing, and deployment — with guidance from senior engineers and team leads. You will take ownership of well-scoped features and contribute to systems that power connected devices for millions of users.

As an engineer on the DELI team, you will collaborate closely with Product Managers, TPMs, and engineers across the organization. You will develop your technical depth, grow your understanding of distributed systems and device integration patterns, and contribute meaningfully to a platform that serves millions of devices.

What You'll Do

Design & Architecture

• Implement backend components, APIs, and event-driven workflows that are reliable, maintainable, and aligned with platform architecture.
• Contribute to technical design for well-scoped features with guidance from senior engineers.
• Translate requirements into technically sound solutions consistent with existing patterns.
• Participate in design reviews, offering input and learning from team feedback.

Implementation & Delivery

• Write high-quality, maintainable, and well-tested code for backend services used in production at scale.
• Contribute to event-driven data pipelines (e.g. Kafka), with a focus on reliability and correctness.
• Deliver work through the full development lifecycle: design → implementation → validation → iteration.
• Debug production issues with support from senior engineers, implementing fixes that improve long-term stability.

Operational Excellence

• Follow team practices for monitoring, alerting, and operational readiness to ensure systems remain healthy.
• Contribute to observability of services you build, including logging, metrics, and alerting.
• Support DELI's work to track and understand device integration outcomes and system health.

Collaboration & Growth

• Work closely with senior engineers, Product Managers, and TPMs to understand requirements and deliver quality solutions.
• Participate in code reviews — both as a reviewer and as someone welcoming feedback to grow.
• Engage in cross-team technical discussions, raising questions and surfacing potential issues early.
• Actively develop your skills across backend, full-stack, and distributed systems domains.

Contributing Broadly

• Identify opportunities to improve code quality, reliability, and maintainability within your area.
• Contribute to documentation, onboarding guides, and engineering best practices.
• Clearly articulate design decisions, explaining tradeoffs to peers and stakeholders.

What We're Looking For

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 2+ years of professional software development experience.
• Strong object-oriented programming skills.
• Experience with database design and development.
• Experience creating and maintaining unit tests.
• Familiarity with building and/or consuming RESTful APIs.
• Strong communication skills and ability to collaborate effectively with engineers and cross-functional teammates.
• Experience using AI-assisted development tools (e.g. GitHub Copilot, ChatGPT) to streamline development while maintaining engineering standards.
• Ability to review and validate AI-generated code, tests, and documentation for correctness and maintainability.
• Exposure to distributed systems or large-scale production environments.

Preferred Qualifications

• Experience with .NET/C# and SQL Server is strongly preferred, as this is the foundation of our backend stack.
• Exposure to event-driven systems (Kafka or similar).
• Experience with Test-Driven Development (TDD) and automated testing frameworks (unit, integration, end-to-end).
• Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), or cloud platforms.
• Experience or interest in IoT, device communication protocols, or connected hardware platforms.

The Impact You'll Have

• You'll contribute to backend systems that directly shape how devices integrate with Alarm.com's platform.
• You'll grow your engineering skills within a team focused on device-facing reliability, consistency, and scale.
• You'll help deliver features and improvements that real users experience through their connected devices every day.
• You'll take on meaningful ownership of well-scoped features and systems, with room to grow your scope and autonomy over time.

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

WHY WORK FOR ALARM.COM?

• Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers.
• Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the Alarm.com team!
• Gain well rounded experience: Alarm.com offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Community and Camaraderie: One of our core values is to 'Keep It Fun,' which to us means fostering a strong sense of community. Our culture is built on collaboration and connection, where we celebrate our successes and believe that a positive, engaging environment is key to doing our best work.
• Alarm.com values working together and collaborating in person. Our employees work from the office 4 days a week.

COMPANY INFO

Alarm.com is the leading platform for intelligently connected properties. Millions of homeowners and businesses rely on Alarm.com's technology to secure, monitor, and manage their environments from anywhere. Our comprehensive suite of solutions—including security, video surveillance, access control, active shooter detection, intelligent automation, energy management, and wellness—is delivered exclusively through a trusted network of thousands of professional service providers and commercial integrators across North America and worldwide. Alarm.com's common stock is traded on Nasdaq under the ticker symbol ALRM. Alarm.com delivers serious security for serious people.

For more information, please visit www.alarm.com.

COMPANY BENEFITS

Our total rewards package is designed to support you holistically—in your health, your finances, and your life outside of work. The package includes medical plans with company subsidies, a Health Savings Account (HSA) with a company contribution, and a 401(k) with an employer match. We encourage a healthy work-life balance with paid vacation that increases with tenure, paid holidays, wellness time, and paid maternity and bonding leave. To complete the package, we also provide company-paid disability and life insurance, all within a collaborative and casual work environment.

Alarm.com is an Equal Opportunity Employer

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:
Alarm.com understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. If you are interested in working with Alarm.com, please email your company information and standard agreement to RecruitingPartnerships@Alarm.com.

Xometry is seeking a Site Reliability Engineer II to join our Site Reliability Engineering (SRE) Organization. In this role as an individual contributor, you will guide the reliability and performance of our infrastructure and software systems across several engineering teams and influence decisions across our technology organization. You will utilize your technical skills and expertise to help us build reliable and flexible infrastructure solutions that empower our technology organization to quickly and safely deploy new features for our customers.

Responsibilities

• Take ownership of assigned problem statements and drive them to completion with guidance from senior engineers.
• Write clean, efficient, and well-documented code while improving existing systems and features.
• Accurately estimate timelines for features and tasks, learning to balance effort, risk, and impact.
• Collaborate effectively across teams, communicating clearly on progress, blockers, and outcomes.
• Seek and apply feedback from peers and managers to improve code quality, technical skills, and delivery consistency.
• Support team members and contribute to a positive, learning-oriented team culture.
• Take ownership of personal development goals, showing steady progress in technical and problem-solving skills.
• Demonstrate accountability, curiosity, and continuous improvement in all aspects of your work.
• Develop, configure, and maintain underlying platforms for deployed software (AWS accounts and networking, kubernetes clusters, and similar systems).
• Develop, configure, and maintain observability and monitoring tools (Coralogix, Sentry, etc.).
• Develop, configure, and maintain software development (CI/CD) tools (github actions runners, ArgoCD, etc).

Qualifications Required:

• 3+ years of professional experience in infrastructure management or backend software development experience in a fast-paced, product-driven environment.
• Demonstrated technical expertise in one or more of the following languages: Python, Javascript, or Unix Shell.
• Experience with AWS, including deploying, monitoring, and scaling production workloads.
• General experience with Terraform, Kubernetes, CI/CD pipelines, and Docker.
• Comfortable working in an operational environment, including participation in an on-call schedule.
• Excellent communication and collaboration skills, comfortable engaging with both technical and non-technical stakeholders.

The estimated base salary range for new hires into this role is $135,000 - $165,000 annually + commission depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.

#LI-Hybrid

How you will make an impact:

Our Data In Flight (DIF) team owns the core pipelines that ingest and route user and event data into Iterable, powering identity, segmentation, and real-time personalization. We are building a multi-tenant data platform that application teams can build on top of, with clear contracts, SLOs, and guardrails. Our product and our Elasticsearch clusters are multi-tenant, and we run Elasticsearch on Kubernetes using Elastic Cloud on Kubernetes (ECK).

We’re looking for a Staff Software Engineer with a track record of operating Elasticsearch-backed data platforms in multi-tenant SaaS. You’ll be a hands-on IC who both designs distributed systems and acts as a platform “product owner” for app teams: understanding their needs, shaping the platform roadmap, and defining stable interfaces between product and data infrastructure.

How you will make an impact:

• Own and evolve core Data In Flight services (ingestion, user and event APIs, identity, system events) with a focus on reliability, performance, and cost.
• Lead the Elasticsearch strategy for our multi-tenant live user and event data: index and mapping design, shard strategy, and safeguards across shared clusters.
• Design and enforce platform contracts (APIs, data models, SLAs, and usage limits) that let product teams move quickly while keeping the data platform safe and scalable.
• Work across other data and application teams on initiatives such as Elasticsearch upgrades, guardrails, resharding, and event retention.
• Provide senior technical leadership during incidents and reviews, turning operational learnings into durable platform improvements.
• Mentor engineers on distributed systems, data modeling, and pragmatic use of Elasticsearch.

What you'll bring:

You likely have many of the experiences below, but not necessarily all of them:

• Hands-on Elasticsearch expertise in production:
• Supporting customer-facing features or platforms backed by ES
• Designing schemas and queries for high-cardinality, multi-tenant workloads
• Operating large clusters (capacity planning, scaling, incident response)
• Multi-tenant platform experience:
• Building shared data services used by multiple product teams
• Implementing rate limits, quotas, and noisy-neighbor protections
• Thinking in terms of contracts and SLOs, not one-off integrations
• Strong distributed systems background:
• JVM-based services (Scala/Java) and event-driven or streaming architectures
• Comfort with modern cloud infrastructure (AWS or similar), messaging, and caches
• Staff-level impact and collaboration:
• Leading cross-team projects from design through rollout
• Translating technical decisions into clear business and product trade-offs
• Clear written communication (RFCs, design docs, post-incident reviews)

Nice To Have:

• Experience with Scala and the Play framework or similar JVM stacks.
• Prior work on core user data platforms (identity, profile stores, event pipelines, or CDP-like systems).
• Exposure to FinOps / infra cost optimization in data-heavy systems.
• Experience in MarTech / AdTech or other high-volume, low-latency data domains.

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $156,00 - $242,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Upbound is hiring a Senior Software Engineer to help us build and operate Upbound Spaces, the multiple control plane management software at the heart of the Upbound Platform. As part of the Spaces team, you will help us scale Upbound to reliably support thousands of control planes, while also extending enterprise control plane management and operations both in the cloud and on premises. Our team is expanding, and this is the perfect opportunity for you to make a significant engineering impact in both development and production operations.

What You'll Do

• Actively build and operate Upbound Spaces in production, troubleshooting and resolving issues across multi-tenant SaaS environments, as well as contributing to Upbound's open-source projects, including Crossplane.
• Take ownership of building features in high demand by Upbound's customers and deliver new functionality that will delight and amaze our users.
• Investigate and debug complex issues in customer environments, including multi-control plane scenarios, resource reconciliation problems, and performance bottlenecks.
• Communicate through thoughtful and thorough design documents for new initiatives and detailed post-incident reviews that drive system improvements.
• Support the full project lifecycle for highly scalable and reliable services running in a cloud environment – discovery, analysis, architecture, design, review, documentation, building, migration, automation, deployment, production-readiness, and ongoing operational support.
• Write and maintain Go code that interfaces with the Kubernetes API, such as operators, controllers, add-ons, etc., with a focus on observability, debuggability, and operational excellence.
• Deploy, manage, and troubleshoot our Kubernetes services in production, using metrics, logs, and traces to identify and resolve issues quickly.
• Build and maintain operational tooling for debugging customer environments, analyzing control plane health, and automating incident response.
• Author documentation, user guides, runbooks, and blog posts to support and promote new features that you release.
• Support the software release cycle for Spaces self-hosted distributions, including diagnosing issues in customer-managed deployments.
• Participate in on-call rotation to support Upbound Cloud, responding to incidents and driving them to resolution.

What You'll Bring

• Have experience operating production cloud services at scale: monitoring, alerting, incident response, post-mortems, and continuous improvement of service reliability.
• Have strong debugging skills across distributed systems, including experience with observability tools (Prometheus, Grafana, OpenTelemetry, distributed tracing) and techniques for diagnosing issues in production environments.
• Have experience building and operating controllers that interact with the Kubernetes API server, including troubleshooting reconciliation loops, managing API rate limits, and optimizing controller performance.
• Are comfortable working directly with customers to understand, reproduce, and resolve complex technical issues in their environments.
• Take responsibility and ownership for solving problems even if they are outside your lane, especially during incidents affecting customer workloads.
• Demonstrate excellence in your work, constantly trying to improve your skills and the operational posture of the systems you build.
• Have empathy for customers and keep them in mind as you build solutions, understanding that reliability and debuggability are features.
• Realize the importance of clear communication and effective collaboration to work as a team, deliver great results, and support customers through technical challenges.
• Help create a safe environment where everyone can contribute, learn from failures, share on-call knowledge, and help each other grow as operators and engineers.

 #LI-REMOTE

The Strategic Enterprise Account Executive role is an outside sales position responsible for developing, managing, and closing business for Strategic Enterprise customers in the North America region and is an integral part of the field sales organization. This person will partner with our demand generation, solutions engineering, and product teams to guide prospective customers through a solutions sales journey of modernizing their cloud platform architecture.  This position will require you to develop a deep understanding of the specific challenges customers are facing to help them positively achieve their business outcomes with Upbound’s solutions. 

This role will work cross-functionally with product, marketing, sales development and customer success to provide a tight-knit customer relationship, account leadership and direction in both the pre-sales and post-sales processes.

In this role, you will:  

• Carry a sales quota that aligns with Upbound’s revenue goals.
• Function as the primary point of contact and the face of Upbound for new prospects and customers.
• Conduct sales activities including prospecting and developing opportunities within existing customer accounts.
• Manage complex strategic enterprise sales motions with multiple prospect engagement points.
• Ensure the successful rollout and adoption of Upbound products and services in partnership with pre-and-post sales engineering and support.
• Take ownership of your business by documenting the buying criteria, process, and owners to ensure pipeline accuracy.
• Look for and implement improvements to sales processes, tools, and materials.
• Travel to customer sites and industry conferences and events as needed.

You are a good fit if you have:

• Proven track record of consistently meeting or exceeding assigned annual/quarterly goals and targets and consistently ranked top 1-2 on your team.
• Sold to large enterprise G2K companies and adept at navigating global, multi-national organizations.
• Sold AI, Cloud, or Infrastructure platform oriented products.
• Experience in solution and value selling in the enterprise cloud, cloud-native, and AI product spaces
• Correctly estimate qualifying opportunities based on MEDDICC.
• Drive to build a business, hunger to find and close deals, and pride in the growth of the business.
• Relentless focus on customer success and meeting the needs of present and future customers.
• Experience building positive professional relationships with senior IT and business executives.
• Clear and articulate written, verbal, online, and in-person communication skills.
• Professionalism, polish, attention to detail, and strong follow-up.
• A collaborative mindset and willingness to help solve problems outside of your immediate lane.
• Fun in your job and enjoy what you do.

It’s a plus if you: 

• Strong understanding of cloud-native infrastructure, AI solutions, and/or Infrastructure as Code tooling (Terraform, Ansible, Chef).
• Significant experience selling disruptive technology into focused markets.

 #LI-REMOTE

Acadian Asset Management is a global, systematic investment manager at the forefront of data-driven investing since 1986. Headquartered in Boston, with locations in Singapore, London, and Sydney, we manage over $166 billion on behalf of leading institutions worldwide—including pension funds, endowments, foundations, and sovereign wealth funds. We harness advanced technology, rich datasets, and multidisciplinary expertise to help clients navigate complex markets and uncover insights that may be overlooked by traditional approaches.

What sets Acadian apart is our people. We foster a collaborative, intellectually curious environment where ideas are tested, diverse perspectives are welcomed, and innovation thrives. We’re united by a shared purpose: delivering effective client outcomes and supporting one another in work that’s both challenging and rewarding. We offer a flexible hybrid work environment, strong benefits, and a casual but focused office culture—all designed to support the meaningful, collaborative work that defines Acadian.

Position Overview:

The Platform team is responsible for building and supporting services that enable our development teams to leverage frameworks, tooling, and services across in-house and vendor PaaS/IaaS offerings. Platform defines the architectural roadmap, best practices, and provides education on these services. This position will work on a cross-functional team that is responsible for implementation and maintenance of our investment infrastructure, focusing on building reusable application templates, patterns of delivery, and operational support of our systems running in AWS and Kubernetes. You will partner with development teams in the Investment group and peers in Platform to guide how we operate our applications. Platform’s goal is to enable our fellow product focused teams to deliver solutions faster through automation and engineering.

Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.

What You’ll Do:

· Pair with your team members to build out services and tooling that advance our cloud capabilities using AWS services like EKS, ECS, EC2, Lambda, Bedrock, and ParallelCluster

· Design, build, and maintain agentic AI systems and automated workflows that augment decision-making and operational efficiency

· Work closely with our partners at AWS to leverage architecture and support services

· Review, comment, and approve pull/merge requests

· Drive automation of the entire software delivery lifecycle

· Proactively improve and modernize our tech stack

· Ensure observability and availability of the investment systems

· Troubleshoot and resolve operational issues

· Mentor junior members of the team

· Rotate through an on-call schedule with your team members to provide afterhours support when needed

We’re Looking for Teammates With:

· BS in Computer Science or related field preferred with at least 5 years of prior experience (Financial services exposure is a plus)

· Proven record of building scalable and durable services in AWS

· Knowledge of observability platforms such as OpenTelemetry, CloudWatch, New Relic, Prometheus

· Understanding of modern AI concepts, including agentic systems, orchestration, and automation workflows.

· Knowledge of migration strategies for legacy workloads to AWS

· Knowledge of common patterns and software architecture

· Familiarity with scripting in Bash/POSIX Shell

· Experience developing services/libraries across multiple languages (Python, TypeScript, Go, and C# are relevant to our current stack)

· Experience with Terraform, Helm, and Kustomize (CDK experience is a plus)

· Demonstrated expertise with Linux and Kubernetes

· Structured approach to troubleshooting

· Practical experience with networking and storage

The base salary range for this role is $165,000 – $185,000 per year. Actual compensation will be determined based on a candidate’s skills, qualifications, and relevant experience. In addition to base pay, this position may be eligible for discretionary incentive compensation and includes participation in Acadian’s comprehensive benefits program, which includes health, retirement, and wellness offerings.