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 Senior Software Engineer to join our VM Platform team. Our team sits at the center of our Tenable One architecture; we ingest massive volumes of assets and find data from collection teams, process it to calculate the "state of the world" for our customers, and feed it to downstream search and reporting products.

We are not just building web apps; we are solving a complex Big Data problem. You will build and maintain the high-throughput, event-driven pipelines responsible for processing the history of assets and vulnerabilities. You will move beyond simple CRUD operations to design systems that handle massive scale, ensuring that when we say an asset is vulnerable (or patched), that data is accurate and available in real-time.

To be considered for this role, you must meet one of the following criteria:

• Hybrid: Ability to commute to our Columbia, MD/Northern VA office.
• Hybrid: Ability to commute to our Boston, MA office.
• Remote: Currently reside in the San Francisco Bay Area, CA

Your Opportunity:

• Build the Future of Exposure Management: We are currently developing the backend that powers Tenable’s flagship Exposure Management (EM) platform. You will be building the future that powers our EM platform.
• Solve Complex Data Problems: Work on "team-named data processing" challenges. You will design logic that collapses millions of incoming findings into a single, accurate state record.
• Architect for Scale: Transition our systems to a new architecture designed to be faster, cheaper, and more reliable. Your work will unblock integrations across the entire company.
• Own Your Stack (DevOps): We support our services in the wild. You won't just write code; you will use Terraform and Datadog to deploy, monitor, and ensure the health of your services in production.

What You’ll Need:

• 4+ years of Backend Engineering experience with a focus on high-volume data processing or distributed systems.
• Strong JVM Proficiency: Deep experience with Java, Kotlin,is required. You should understand memory management and performance within the JVM ecosystem.
• Stream Processing Architecture: Proven experience with Kafka (ideally), AWS Kinesis, et al. You understand topics, partitions, and how to process teams of data asynchronously
• To be considered for this role, you must meet one of the following criteria: Hybrid with the ability to commute to our Columbia, MD/Northern VA office,  Hybrid with the ability to commute to our Boston, MA office, or Remote: Currently reside in the San Francisco Bay Area, CA
• Distributed Systems Knowledge: You understand the challenges of microservices, eventual consistency, and data resiliency.
• Stateful Processing Logic: Experience calculating "state" from a history of events. You understand how to take a stream of raw data and "collapse" it into a current status.
• DevOps Mindset: Hands-on experience with Terraform for infrastructure-as-code and observability tools like Datadog to monitor metrics and graphs.
• Database Experience: Proficiency with SQL and NoSQL data stores (PostgreSQL, DynamoDB, or similar) to store and retrieve state data.

And Ideally:

• Experience with Event Sourcing or CQRS patterns.
• While security background is a plus, we value Big Data/Data Pipeline experience first. If you can process data at scale, we can teach you the security domain.

#LI-LP1

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 a Principal Software Engineer to join our Engineering team, responsible for building and scaling the pipelines that power the Security Intelligence Graph. As a Principal Software Engineer, you will work across application code and infrastructure to collect, transform, and deliver structured threat data: tracking malware infrastructure, phishing campaigns, spam networks, command-and-control systems, and more. You will play a key role in driving architectural improvements and ensuring the platform scales effectively as it continues to grow.

What You'll Do:

• Data Pipeline Ownership: Design, build, and maintain scalable data pipelines that collect, transform, and deliver structured threat intelligence data powering the Security Intelligence Graph.
• Architecture & Scalability: Drive meaningful architectural improvements across data and platform systems to ensure long-term scalability, reliability, and performance.
• Full-Stack Engineering: Work across both application code and infrastructure, contributing to backend services, data systems, and platform capabilities.
• Data Processing & Analysis: Apply statistical techniques to large-scale datasets to generate accurate and impactful insights.
• Reliability & Observability: Ensure production-grade pipeline reliability through strong observability, error handling, and failure recovery practices.
• Infrastructure & Deployment: Build and maintain CI/CD pipelines and contribute to infrastructure-as-code practices to support efficient and repeatable deployments.
• Cross-Team Collaboration: Communicate technical concepts clearly and collaborate effectively across teams, geographies, and varying levels of technical expertise.
• Technical Leadership: Engage with technical leaders across teams and contribute to raising the engineering bar through knowledge sharing and best practices.

What You'll Bring:

• At least 5 years of experience in data engineering, backend engineering, or platform engineering.
• Strong proficiency in Python, with experience in Go or Rust considered a plus.
• Experience working with cloud infrastructure, including compute, storage, networking, and IAM fundamentals.
• Hands-on experience with message queues and pub/sub systems such as Kafka or RabbitMQ.
• Experience with SQL databases such as Postgres or AWS RDS, and NoSQL databases such as MongoDB or Elasticsearch.
• Familiarity with data lake storage frameworks such as Delta Lake and graph databases such as AWS Neptune or Neo4j.
• Experience developing REST APIs using frameworks such as Flask, Django, or FastAPI.
• Proven experience architecting and delivering production-grade applications and ETL/ELT pipelines.
• Strong understanding of building reliable data pipelines, including observability, error handling, and failure recovery.
• Experience building and maintaining CI/CD pipelines; GitHub Actions experience is a plus.
• Familiarity with infrastructure-as-code tools; Terraform experience is a plus.
• Comfort working with high-volume, complex, and unstructured data.
• Strong problem-solving skills, including the ability to debug both software and data issues.
• Excellent attention to detail and ability to work independently while delivering high-quality results.
• Interest in or familiarity with security data domains such as threat infrastructure, malware, or network telemetry.
• Bachelor’s and/or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or equivalent experience.

Preferred Qualifications:

• Experience or interest in cybersecurity data domains such as malware analysis, phishing detection, or network telemetry.
• Experience working with graph-based data systems or security intelligence platforms.

The base salary range for this full-time position is $152,000-$228,500. 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 JOB 

We're seeking a full stack Security Software Engineer to develop novel security tooling for securing our suite of products including and detecting potential cybersecurity issues across embedded Linux systems and Android devices. The ideal candidate can develop across the the full stack - from Linux eBPF programs to cloud backends and everything in between.

WHAT YOU’LL DO 

• Design and develop cybersecurity tools for embedded Linux and Android systems.
• Build and maintain backend services with REST APIs running on cloud platforms.
• Create user-friendly frontends using React and TypeScript.
• Manage cloud infrastructure using Terraform and/or AWS CDK.
• Collaborate with cross-functional teams to identify security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

REQUIRED QUALIFICATIONS

• 5+ years of software development experience in some combination of Golang, Rust, Kotlin, and TypeScript.
• Proficiency in implementing application backends, including authorization, observability, REST APIs, and NoSQL data persistence.
• Strong experience with frontend development using React and TypeScript.
• Familiarity with cloud infrastructure management (Terraform and/or AWS CDK).
• Experience in mobile development, specifically on Android platforms.
• Understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience with embedded systems and Linux.
• Knowledge of security frameworks and compliance standards.
• Experience with Linux observability and eBPF.
• Experience with CI/CD and test automation, including for mobile devices.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

Role overview

The Principal IT Systems Administrator is the most senior individual contributor on the IT Systems team, setting technical direction for core platforms, endpoints, networks, and security within IT Operations. This role drives reliability, scalability, and automation.

You will lead complex initiatives, serve as a top escalation point, and partner across the business to ensure infrastructure and endpoints enable productivity while meeting security and compliance needs.

What you'll do

• System Configuration & Administration: Design and implement complex configurations for core IT platforms (identity, collaboration, infrastructure, SaaS). Establish configuration management, lead performance/reliability improvements, and automate repetitive tasks.
• Workspace & Endpoint Management: Design enterprise-wide endpoint strategies (macOS, Windows, mobile). Develop and enforce security policies, automate software/OS deployments via MDM/EMM, and own compliance reporting.
• Network & Infrastructure: Design and implement complex network configurations (LAN/WAN/Wi-Fi/VPN/voice) for scalability and security. Maintain monitoring, automate network management, and lead infrastructure projects (e.g., migrations, new site buildouts).
• Security Engineering & Operations: Define and drive security strategies within IT Systems (identity, access, endpoints, networks). Integrate security tools (SSO/MFA, EDR, DLP), enforce access policies, and act as a technical lead during critical security incidents.
• Incident Management & Reliability: Define and implement incident response strategies, lead Post-Incident Reviews (PIRs) to drive corrective action, develop runbooks, and oversee on-call rotations.
• Documentation & Knowledge Management: Define documentation standards (architecture, SOPs, runbooks) and ensure knowledge bases are accurate, comprehensive, and easily discoverable.

What you'll bring

• Extensive experience (typically 8+ years) in IT systems engineering/administration, with significant time in senior/lead roles on enterprise-scale environments.
• Deep expertise in: Core IT systems (identity, collaboration, directory), Endpoint management (MDM/EMM, lifecycle), Network infrastructure (switching, routing, VPN), and Security controls (EDR, SSO/MFA).
• Demonstrated ability to design complex configurations, lead large cross-functional projects, and influence architectural decisions.
• Strong automation mindset and proficiency with scripting/infrastructure-as-code (Python, PowerShell, Terraform).
• Proven track record leading major incidents and PIRs.
• Excellent cross-functional collaboration and communication skills, comfortable engaging all levels.
• Experience in environments with security, regulatory, or audit requirements (SOC 2, SOX).
• A bias toward ownership, documentation, and mentorship.

Nice to have: Experience in a high-growth SaaS or technology company, familiarity with CarGurus tools (Okta, Google Workspace/M365, Jamf, Intune), and experience partnering with Security Engineering and GRC.

ABOUT THE TEAM

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

ABOUT THE JOB

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

WHAT YOU'LL DO

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

REQUIRED QUALIFICATIONS

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

Preferred Qualifications:

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

About the opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports organization-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven manager who is passionate about solving complex security problems in innovative and scalable ways. As a Manager of Security Engineering, you will own security engineering across Contentful’s corporate systems, including the tooling and platforms that support the internal security team. While this role does not own security for the customer facing product, you will partner closely with product security teams within the security organization on shared responsibilities.

You will balance people leadership with hands-on technical execution, including designing, building, and operating security controls and tooling at scale, with a particular focus on areas such as identity and access management, data security, and SaaS platforms. You will provide strategic guidance and lead initiatives while remaining directly involved in implementation. You may work independently at times, but will more often collaborate closely with security, IT, and cross-functional partners to align strategies, execute shared initiatives, and ensure comprehensive risk mitigation while minimizing impact on end users across the organization.

What to expect?

• Develop a team, providing coaching, mentorship, goal setting, and performance feedback.
• Define roles and make hiring decisions to grow the team in line with department needs.
• Remain hands on, balancing technical leadership with direct implementation work.
• Own execution and prioritization across projects and operations, using agile delivery practices.
• Scale and mature effectiveness and efficiency by improving processes and tooling.
• Champion continuous improvement across all aspects of the security program.
• Continuously improve effectiveness and efficiency by evolving processes and tooling.
• Communicate risks and technical concepts with clarity to leadership and stakeholders.
• Collaborate with security leadership to execute business aligned, risk reduction roadmaps.
• Shape work scope, sequencing, and success criteria inline with department and company needs.
• Drive security processes, standards, and best practices across information technology assets.
• Partner with stakeholders to evolve security awareness and specialized training across all functions.
• Mature capabilities across endpoint, SaaS, and cloud configuration.
• Own strategy evolution of corporate capabilities, including configuration, IAM, and data security.
• Enhance tooling, automation, and integrations to improve visibility and reduce manual effort.
• Support and guide security incident response efforts as a technical leader.
• Support cross functional vulnerability management while advancing the program capabilities.
• Define and maintain metrics to measure impact, optimize execution, and guide investment.
• Partner with cross-functional teams for security enhancement and drive risk reduction.
• Accelerate adoption of AI, balancing practicality enablement, and risk management.
• Stay current on threats, vulnerabilities, and tactics, translating insights into actionable strategies.

What you need to be successful?

• 8+ years of progressive engineering and security experience.
• 3+ years managing people and security engineering teams.
• Comfort operating in ambiguity, balancing strategic thinking, security, and practicality.
• Expertise with AWS, GCP, and Azure.
• Strong hands-on experience designing, implementing, and operating security controls at scale.
• Demonstrated experience securing endpoint, SaaS, and cloud environments.
• Experience working within identity and access management and data security programs.
• Software development experience in modern programming language (Python, Go, etc)
• Hands-on experience using Terraform and infrastructure-as-code.
• Experience applying modern practices to improve efficiency and scalability or security programs.
• Passion for solving complex security problems in innovative and scalable ways.
• Experience using metrics to measure impact, optimize execution, and guide investment decisions.
• Strong communication skills with the ability to explain technical topics to non technical audiences.
• Ability to support occasional off-hours incident response efforts.
• Familiarity with attacker techniques in cloud-native and traditional environments.
• Hands-on experience owning security technologies (e.g., EDR, AntiVirus, etc.)
• Proven ability to lead cross-functional initiatives and influence outcomes without direct authority.
• Experience owning end to end security programs, proactively driving incremental improvement.
• Strong systems thinking, with the ability to design security solutions that scale through efficiency.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

Massachusetts Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Massachusetts if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Massachusetts Salary Range: $187,000 - $253,00

#LI-Remote 

Do you want to be a part of the clean energy movement? Are you passionate about improving our environment for this generation and those to follow? Are you ready to take on new challenges and collaborate with a future-focused team leading the way into new markets? Join Nexamp! 

This is where you can learn from industry leaders and become one yourself. It's fast-paced, mission-based work that challenges the status quo. Be on the team that's changing the world. 

What we’re looking for: 

We're looking for a Senior Full Stack Software Developer to help us build and optimize tech solutions to accelerate our sustainable energy future. At Nexamp, you'll be part of an engineering squad focused on multiplying the efficiency of how we raise and deploy billions of dollars of capital into low-downtime solar power plants. You’ll be the front-end lead on the squad and will drive impact by writing quality code, steering projects from conception to completion, helping refine our processes, and guiding more junior team members. This role will be hybrid, based out of our Boston office, and you will report to your squad’s Tech Lead.

What you’ll do:  

• Internalize our objectives and deliver measurable change for Nexamp and our customers.  
• Design, implement, and deploy reliable and efficient production software in our React/Django/Azure stack.   
• Actively collaborate in sprint planning, execution, code reviews, demos, and retrospectives.  
• Own design decisions across our React applications and establish and execute scalable patterns, standards, and best practices for the squad.
• Guide and inspire more junior developers across the organization through mentorship and collaboration.  
• Continually seek ways to level-up your own skills and make a bigger impact throughout the company.

What you’ll bring:

• 7+ years of full stack software development experience at companies with 10 or more developers.
• Experience architecting, building, and deploying consumer-facing frontend applications in React and Typescript.
• Experience developing and optimizing web-based solutions in modern Python, ideally using Django, FastAPI, or similar frameworks.
• Robust understanding of web standards, infrastructure (databases, storage, caching, content delivery, etc.), and cloud platform offerings.
• Effectively communicate and collaborate with users and business stakeholders, facilitating software and process requirements.
• Experience leveraging debugging expertise and a proven track record of independently solving problems.
• Solid understanding of SQL and relational databases.
• Familiarity with version control systems like Git, CI/CD pipelines for automated testing & deployment, and infrastructure tools like Terraform.
• Understanding of cutting edge AI tools and a commitment to leveraging them to rapidly deliver high quality software.
• Ownership mentality and initiative to make improvements to code, processes, and user experiences across the organization.
• Can-do attitude toward architecting right-sized solutions to real-world business problems.
• Commitment to Nexamp's mission and have a passion for solving tomorrow's climate crisis today.
• Demonstrated experience in effectively communicating information, ideas, and perspectives with people inside and beyond your organization.   
• Experience in showcasing initiative to make improvements to current work, processes, products, and services across the organization. We value accountability and an ownership mentality. 
• Ability to ask appropriate questions, analyze data, identify the root causes of problems, and present creative solutions. 
• Expertise in building strong internal and external relationships with customers and stakeholders, instilling trust and loyalty across the industry. 
• Eagerness to develop a fundamental understanding of how Nexamp operates and then apply that knowledge effectively to inform business decisions.

If you don’t meet 100% of the above qualifications, but see yourself contributing, please apply.

At Nexamp, our mission is to build the future of energy so it is clean, simple, and accessible for all. We are committed to providing a work environment free from discrimination. We are proud to be an equal opportunity employer. We do not discriminate against applicants on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, veteran status, or any other basis protected by law. By encouraging a culture where ideas and decisions come from all people, we believe it will help us grow, innovate, and be a part of environmental and social change.

You’ll love working here because:  

Not only will you get to take part in meaningful work and have the chance to change the world alongside innovative, dedicated, and motivated peers, but you will also have access to all the benefits that Nexamp offers! This includes our competitive compensation package; a 401(k) employer-match; health, dental, and vision insurance starting day one; flexible paid time off and holiday PTO; commuter benefits, and cell phone reimbursement. We have headquarters in Boston, MA and Chicago, IL, in addition to growing offices nationwide. We provide healthy snacks, coffee, service days and other volunteer opportunities, company outings, and more!  

Compensation: 

The reasonably estimated salary for this role at Nexamp ranges from $170,000 - $190,000. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual bonus programs based on individual and company performance, non-annual sales incentive plans, or other non-annual incentive plans). Additionally, you may be eligible to participate in the Company’s stock option plan. Actual base salary may vary based upon, but is not limited to, skills and qualifications, internal equity, performance, and geographic location. 

Nexamp's People team manages all aspects of recruitment and hiring within our organization. We want to inform third-party recruiters, staffing firms, and related agencies that Nexamp does not accept unsolicited resumes. Resumes will only be considered from these entities if a signed agreement is in place and the People team explicitly authorizes external recruiting assistance for a specific position. Any unsolicited resumes received will be deemed the property of Nexamp. We want to emphasize that Nexamp is not liable for any fees associated with unsolicited resumes. 

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.

Role overview

CarGurus' Ads Intelligence group is looking for a highly experienced and accomplished Principal Software Engineer to set the technical direction for our platform that will deliver complex market insights through intuitive dealer-facing experiences.

In this high-impact role, you will be the primary technical owner, responsible for setting the multi-year architectural strategy for all market intelligence solutions. You will partner closely with leaders across Product, Data Science, and Product Data Analytics to transform complex competitive data into scalable, insightful, and strategic market intelligence products. If you are an architect focused on solving complex challenges at scale, balancing robust design with long-term stability, we’d love to hear from you!

What you'll do

• Work closely with engineers, product managers, and stakeholders across the company to gather complex product requirements and transform them into effective, robust, and production-ready solutions.
• Define, socialize, and lead the technical vision and architectural roadmap for the entire Ads platform, ensuring long-term performance, reliability, and security across the entire data lifecycle.
• Serve as a technical leader by establishing clear engineering practices, ensuring high standards for code quality, testability, observability, and operational excellence across the team and adjacent groups.
• Guide the technical direction in both our important Java backend services (e.g., microservices, APIs) and sophisticated modern web applications (React) that provide data visualization and intuitive user experiences.
• Mentor, coach, and support the growth of engineers, leading technical design reviews and promoting sound technical decision-making throughout the organization.
• Evaluate, advocate for, and incorporate advanced technologies, including AI/ML capabilities, to enhance the accuracy, breadth, and strategic value of our market intelligence data products.

What you'll bring

• Bachelor’s degree or higher in Computer Science or similar; or equivalent experience in computer science fundamentals including data structures, algorithms, design patterns, and complexity analysis.
• 8+ years of professional software development experience, including 3+ years of experience leading technical strategy or serving as a Principal/Staff Engineer working with Java (or similar languages), and frameworks such as Spring Boot.
• 5+ years of experience designing, building, deploying, scaling, testing, and evolving distributed systems and high-volume transaction applications using service-oriented architecture in 24/7 production environments. Strong proficiency in cloud infrastructure, AWS preferred, including familiarity with infrastructure-as-code concepts (e.g., Terraform).
• 2+ years of experience using cloud infrastructure technologies such as AWS, Terraform or similar cloud services. 
• 3+ years of hands-on experience working with both relational and NoSQL databases, applying the right data models to diverse needs.
• Outstanding written and verbal communication abilities, with a proven talent for articulating complex technical roadmaps and trade-offs to executive leaders, business stakeholders, and engineering teams, ensuring alignment on long-term strategy and execution.
• Experience with full-stack development, especially modern web applications like React, is a strong plus.

ABOUT THE TEAM

The Lattice Platform is dedicated to building a comprehensive, integrated platform that enables efficient data management, task orchestration, and system-wide interoperability. Lattice, the foundation for everything we do as a defense technology company, consists of talented and hard-working engineers who are motivated to see their work rapidly deployed on the front lines. Unlike teams building experimental systems, we deploy our solutions in real-world environments. Our work spans core infrastructure, distributed systems, web development, networking, and other critical areas that form the backbone of Anduril's defense technology ecosystem. By combining these diverse, yet interconnected areas of expertise, we aim to create a powerful, scalable ecosystem that supports autonomous robots, data-driven decision-making, and innovative applications across all war-fighting domains. Our ultimate goal is to deliver a cohesive software infrastructure that drives technological advancement and operational efficiency for Anduril.

ABOUT THE JOB

We are looking for multiple Senior Software Engineers to join our rapidly growing platform team. In this role, you will be responsible for developing and maintaining the foundational systems that power Anduril's defense technology products. You will build infrastructure, platform services, and integration components that enable our entire engineering organization to operate efficiently at scale. This will require expertise in various programming languages, system architecture, and collaborative problem-solving. If you are someone who is self-motivated, holds yourself to high standards, and thrives in a low-structure, high-autonomy environment, then this role is for you.

WHAT YOU'LL DO

• Design and implement core infrastructure components that support Anduril's defense technology applications
• Develop platform services that enable other software engineers to scale their output
• Work with simulation, data management, compute infrastructure, and networking technologies
• Collaborate with customers to deliver novel software capabilities
• Partner with team members in the autonomy domain to create technologies and processes
• Enable users to safely and rapidly develop and deploy autonomous systems at scale
• Participate in technical design reviews and architecture discussions
• Implement robust monitoring, logging, and data management solutions

REQUIRED QUALIFICATIONS

• 7+ years working in an engineering environment: a startup (or startup-like environment), engineering school, etc.
• 5+ years working with a variety of programming languages such as Go, C++, Rust, Python, Java, JavaScript/TypeScript, etc.
• Experience designing, developing, and integrating software for infra, cloud, web, autonomy, robotic applications
• Demonstrated ability to build platform and infrastructure tooling
• Experience working with customers to deliver novel software capabilities
• Strong collaboration skills, particularly in the autonomy domain
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience building or inventing something: an app, a website, game, or startup
• Professional software development lifecycle experience using tools such as version control, CI/CD systems, etc.
• Experience building scalable backend software systems with various data storage and processing requirements
• Deep understanding of how computers and networks work, from a single desktop to a multi-cluster cloud node
• Experience with industry standard cloud platforms (AWS, Azure), CI/CD tools, and software infrastructure fundamentals
• Ability to quickly understand and navigate complex systems and established code bases
• Experience implementing robot or autonomous vehicle testing frameworks in HITL environments
• Experience with modern build and deployment tooling (e.g., NixOS, Terraform)
• Experience designing complex software systems and iterating upon designs via technical design reviews
• Familiarity with industry standard monitoring, logging, and data management tools and best practices
• A bias towards rapid delivery and iteration

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 JOB 

We're seeking a Security Software Engineer with a specialization in crypto services and key management to develop novel security tooling for securing our suite of products. The ideal candidate can develop, test, and debug embedded software with mission-critical security responsibilities.

WHAT YOU’LL DO

• Design and develop cybersecurity tools for realtime embedded, embedded Linux, and Android systems.
• Design and develop resilient software supporting all phases of key handling on embedded systems - from key load through sanitization.
• Develop thorough testing and qualification procedures for security critical components.
• Collaborate with cross-functional teams to identify specific security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

REQUIRED QUALIFICATIONS 

• 2+ years of software development experience in some combination of Golang, Rust, or C/C++.
• Experience selecting and utilizing embedded HSMs and Secure Elements.
• Experience with CI/CD and test automation, including for mobile and embedded devices.
• Experience debugging embedded systems using common test equipment - logic analyzers, oscilloscopes, etc.
• Solid understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS 

• Knowledge of security frameworks and compliance standards.
• Experience in mobile development, specifically on Android platforms.
• Familiarity with cloud infrastructure management (Terraform and/or AWS CDK).
• Experience implementing solutions compliant with US Government key handling requirements.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

ABOUT THE JOB

We are hiring a Senior Software Engineer to design, improve, and maintain the core package set which supports software distribution throughout Anduril. This involves creating internal tooling, establishing standards, planning architectural changes, and supporting users of the package set. You are expected to provide expertise for the usage of Nix at a large scale and assist in training other engineers. You should be capable of operating autonomously with limited oversight in a complex environment, and have the ability to break down intricate problems into simple solutions.

WHAT YOU'LL DO

• Maintain an internal package set in order to enable software distribution across the company for development, hosted services, and embedded devices
• Package open-source and proprietary software components using Nix
• Improve developer ergonomics by defining Nix usage standards, creating tooling support, and integrating with developer workflows
• Provide assistance, training, and mentorship to other team members

REQUIRED QUALIFICATIONS

• Proficiency with Nix, Nixpkgs, NixOS, and functional programming generally
• Deep understanding of how build systems and packaging ecosystems work
• Ability to dive into large and complicated systems, and use Nix to improve them
• Experience with one or more of the following languages: Rust, C++, Go, Python, Haskell
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with managing cloud computing resources (eg: AWS)
• Experience with modern build and deployment tooling, and continuous integration (e.g. NixOS, Terraform)
• Experience designing complex software systems, and iterating upon designs via a technical design review process
• Familiarity with industry standard monitoring, logging, and data management tools and best practices
• A bias towards rapid delivery and iteration

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

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.

Your Impact

You are a Staff Site Reliability Engineer who will help define how Axon builds and operates its core platforms, with a primary focus on Zero Touch, our controlled, compliant execution framework, and the identity and security foundations that sit around it. Rather than manually provisioning infrastructure or running tickets, you design and build the platforms, tooling, and guardrails that enable hundreds of engineers to operate safely and efficiently at scale.

You bring a strong background in infrastructure and platform engineering, deep experience with distributed systems, and a bias toward automation, self-service, and policy-by-default. You think in terms of APIs, workflows, and golden paths, not servers and scripts. You care as much about security, identity, and auditability as you do about latency and error budgets, and you are comfortable working in highly regulated environments where correctness, traceability, and least privilege are non‑negotiable.

This role is highly cross‑functional. You will collaborate with staff and senior engineers across product and platform teams to shape how we build, deploy, secure, and operate Axon’s cloud systems in a modern, AI‑driven environment.

Location - This role is based out of our 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

• Drive the Zero Touch platform
  • Lead the design and implementation of Zero Touch, Axon’s controlled, compliant execution framework for operational and change workflows.
  • Define opinionated workflows, APIs, and abstractions that allow engineers to execute infrastructure and application changes safely, repeatably, and with strong guardrails.
  • Embed policy‑as‑code, approvals, and audit trails into the framework so that compliance requirements are enforced by default, not as an afterthought.
• Drive identity and security posture improvements
  • Partner with Identity, Security, and Platform teams to design secure patterns for authentication, authorization, and workload identity across cloud platforms.
  • Define and standardize how services integrate with SSO/OIDC, RBAC, secrets management, certificate management, and key management so that platform workflows and APIs are identity‑aware and least‑privilege by design.
  • Improve Axon’s overall security posture by building primitives (e.g., policy engines, IAM baselines, secure-by-default templates) that can be reused across teams.
• Join Forces on our dual‑cloud infrastructure modernization
  • Design and build dual‑cloud infrastructure abstractions (e.g., Terraform/CDK modules, platform services, deployment patterns) that allow Axon to run workloads consistently across providers while respecting regional and regulatory constraints.
  • Align these workflows with our dual‑cloud strategy so that multi‑region and multi‑cloud operations, failover, and rollout patterns are safe and repeatable.
• Build platform abstractions that reduce operational burden
  • Design scalable, multi‑tenant platform services (e.g., deployment pipelines, runtime execution environments, policy engines, observability primitives) that turn recurring operational work into reusable capabilities.
  • Define clear golden paths and reference implementations for common patterns (e.g., service onboarding, change rollout, incident response automation) that raise the baseline for reliability, security, and developer experience.
• Provide architectural and technical leadership
  • Drive architectural decisions for platform and infrastructure initiatives, balancing long‑term strategy with immediate business needs.
  • Collaborate with other staff and senior engineers to set technical direction for Axon’s reliability, security, and automation strategy, especially around our execution platform and identity.
  • Mentor and grow engineers across multiple teams, acting as a force multiplier by raising the technical bar and improving how we design, secure, and operate systems.

What You Bring

• 10+ years of experience in software engineering, with a focus on infrastructure, platform, or reliability engineering.
• Strong programming skills in one or more languages such as Go, TypeScript, Python, or Java, with an emphasis on building services and tooling, not just scripts.
• Experience operating and scaling public‑facing, distributed systems, including designing for availability, latency, and graceful degradation.
• Deep familiarity with Infrastructure as Code (e.g., Terraform, CDK, CloudFormation) and modern CI/CD practices, including how to model policies, environments, and workflows as code.
• Demonstrated experience building or owning platforms that other engineers depend on (e.g., deployment frameworks, execution engines, internal developer platforms, or SRE tooling).
• Practical experience with identity and access management:
  • Integrating applications and platforms with SSO/OIDC providers and enforcing RBAC/ABAC.
  • Designing safe patterns for secrets management, key management, and workload identity.
  • Working with security and compliance partners to translate requirements into concrete, testable controls.
• Experience improving security posture in cloud environments, including secure defaults, least‑privilege access patterns, and auditable change workflows.
• Proven ability to lead through influence in highly collaborative, cross‑functional environments; you are comfortable driving consensus across product, platform, security, and compliance teams.
• Strong system design and architecture skills, with a track record of making sound trade‑offs under ambiguity and scaling systems and platforms over multiple years.
• Demonstrated experience mentoring engineers and developing technical talent, helping others grow into stronger platform, SRE, or security engineers.
• Excellent communication skills; you can explain complex systems, constraints, and trade‑offs clearly to both technical and non‑technical stakeholders.

Benefits that Benefit You

Our benefits offer an array of options to help support you physically, financially, and emotionally through the big milestones and in your everyday life, including:

• Competitive salary and 401(k) 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.
 

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 Summary:

We are seeking a capable and highly motivated Engineer for our Developer Platform team to enable rapid and safe software delivery by providing a unified, efficient and reliable platform for all developers at Motional. You will join a talented team of engineers that focuses on improving the engineering experience and developer productivity of teams in Motional by providing them with the necessary tools and processes. You will collaborate closely with teams across the organization to identify pain points and drive initiatives that empower teams to deliver on Motional’s mission.

Your main focus will be on our real-time data pipeline which enables our AVs to communicate with our cloud services such as Command Center, Over-The-Air update systems, and ride hailing partners integration.

This is a remote-first position based anywhere in the U.S. 

What you'll do:

• Design, build, document, test, and maintain network, compute, and storage infrastructure of our cloud platform for the AV fleet.
• Monitor, support, and resolve issues as they arise in production.
• Assist with high-level analysis, system design, and code reviews.
• Communicate with stakeholders and team leads to identify system requirements.

What you'll be working on:

• Observability systems, CI/CD pipelines for integrations with ride hailing partners like Uber and Lyft.
• Cost Optimizations, Performance Optimizations, Security Improvements of Cloud Systems.
• Automation, services and LLM-integrated bots to reduce developer toil.

What you bring:

• 2+ years of professional work experience as a Software Engineer/DevOps in designing and building distributed systems.
• Experience with Golang / Python.
• Experience with AWS (EC2, EKS, ECS, Lambda, VPC, S3, IAM, IOT).
• Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins).
• Experience with Infrastructure as Code (Terraform).
• Comfortable taking projects from ideation through to completion, with strong communication and collaboration across multiple international teams.
• Comfortable working in a fast-paced, continuous delivery environment.

Bonus points for experience with:

• Working with a globally distributed team.
• Experience with serverless architectures, building systems using SQL and NoSQL databases.
• Experience with time-series databases and monitoring tools (Prometheus, VictoriaMetrics, Grafana, Redash).
• Experience with GenAI solutions (Q Developer/Business, Gemini).
• Experience in Site Reliability Engineering.
• Experience with error monitoring software (Sentry, Incident.io).

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.

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.

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

CarGurus' Dealer Competitive Intelligence group is looking for a highly experienced and accomplished Principal Software Engineer to set the technical direction for our platform that will deliver complex market insights through intuitive dealer-facing experiences.

In this high-impact role, you will be the primary technical owner, responsible for setting the multi-year architectural strategy for all market intelligence solutions. You will partner closely with leaders across Product, Data Science, and Product Data Analytics to transform complex competitive data into scalable, insightful, and strategic market intelligence products. If you are an architect focused on solving complex challenges at scale, balancing robust design with long-term stability, we’d love to hear from you!

What you'll do

• Work closely with engineers, product managers, and stakeholders across the company to gather complex product requirements and transform them into effective, robust, and production-ready solutions.
• Define, socialize, and lead the technical vision and architectural roadmap for the entire Dealer Competitive Intelligence platform, ensuring long-term performance, reliability, and security across the entire data lifecycle.
• Serve as a technical leader by establishing clear engineering practices, ensuring high standards for code quality, testability, observability, and operational excellence across the team and adjacent groups.
• Guide the technical direction in both our important Java backend services (e.g., microservices, APIs) and sophisticated modern web applications (React) that provide data visualization and intuitive user experiences.
• Mentor, coach, and support the growth of engineers, leading technical design reviews and promoting sound technical decision-making throughout the organization.
• Evaluate, advocate for, and incorporate advanced technologies, including AI/ML capabilities, to enhance the accuracy, breadth, and strategic value of our market intelligence data products.

What you'll bring

• Bachelor’s degree or higher in Computer Science or similar; or equivalent experience in computer science fundamentals including data structures, algorithms, design patterns, and complexity analysis.
• 8+ years of professional software development experience, including 3+ years of experience leading technical strategy or serving as a Principal/Staff Engineer working with Java (or similar languages), and frameworks such as Spring Boot.
• 5+ years of experience designing, building, deploying, scaling, testing, and evolving distributed systems and high-volume transaction applications using service-oriented architecture in 24/7 production environments. Strong proficiency in cloud infrastructure, AWS preferred, including familiarity with infrastructure-as-code concepts (e.g., Terraform).
• 2+ years of experience using cloud infrastructure technologies such as AWS, Terraform or similar cloud services. 
• 3+ years of hands-on experience working with both relational and NoSQL databases, applying the right data models to diverse needs.
• Outstanding written and verbal communication abilities, with a proven talent for articulating complex technical roadmaps and trade-offs to executive leaders, business stakeholders, and engineering teams, ensuring alignment on long-term strategy and execution.
• Experience with full-stack development, especially modern web applications like React, is a strong plus.

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.

Your Impact 

As an Infrastructure Architect, you will be responsible for the technical direction, architectural integrity, and operational maturity of Axon’s core infrastructure platforms. This includes ownership of our virtualization environments, storage platforms, cloud infrastructure (Azure and AWS), database services, and foundational platform services that support both corporate IT and product-facing teams.

You will act as the senior technical authority for infrastructure architecture—making design decisions, setting standards, and guiding execution—while remaining hands-on where it matters most. Your work will directly influence how Axon scales its environments, improves reliability, controls cost, and supports business-critical workloads across on-prem and cloud ecosystems.

In this role, you will lead and manage a team of Server and Infrastructure Engineers, providing technical direction, mentoring, and prioritization, while partnering closely with Network Architecture, Platform Engineering, Security, and Product (R&D) teams. You will serve as a key interface between corporate infrastructure and product engineering, ensuring infrastructure solutions are well-architected, secure, and aligned with Axon’s long-term strategy.

This role is ideal for a senior technologist who combines deep infrastructure expertise, architectural thinking, and people leadership, and who is motivated by building scalable, durable platforms rather than just keeping the lights on.

What You’ll Do 

Location: Scottsdale, AZ or Boston, MA - Onsite 4x a week
Reporting to: Sr. Manager, Network/Infrastructure

• Own the architecture and technical direction for Axon’s infrastructure platforms, including VMware, storage, cloud (Azure/AWS), databases, and core platform services.
• Lead and manage a team of infrastructure engineers, providing technical guidance, prioritization, and mentorship while ensuring high operational standards.
• Design, review, and approve infrastructure solutions supporting corporate IT and Axon product/R&D teams, balancing scalability, security, reliability, and cost.
• Remain hands-on in critical areas such as virtualization, cloud engineering, storage, and database platforms, serving as a senior escalation point.
• Partner closely with Network, Platform, Security, and Product teams to deliver well-architected, cross-functional solutions.
• Drive infrastructure modernization efforts, including migrations, lifecycle management, technical debt reduction, Infrastructure as Code (IaC), and automation.
• Establish standards, documentation, and best practices to improve resilience, observability, and operational maturity.
• Define, implement, and report on key infrastructure metrics and KPIs to provide visibility into platform health, capacity, cost, reliability, and team performance.
• Support planning and execution of infrastructure initiatives aligned with business growth and long-term strategy.

What You Bring

• 8+ years of experience in infrastructure engineering, with demonstrated ownership of complex on-prem and cloud environments.
• Deep hands-on expertise with VMware virtualization, enterprise storage, and cloud infrastructure (Azure required; AWS preferred).
• Strong experience with database and platform services, including SQL-based environments.
• Proven experience leading and managing technical infrastructure teams, with a track record of driving results through others.
• Proven experience defining, tracking, and reporting on infrastructure metrics, KPIs, and dashboards for leadership visibility and data-driven decisions.
• Hands-on experience with Infrastructure as Code (IaC) and automation tools (e.g. Terraform, Ansible, GitHub Actions) to deliver repeatable, scalable, and version-controlled infrastructure across hybrid environments.
• Strong communicator and collaborator who aligns with Axon’s values of ownership, accountability, teamwork, and mission focus.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & 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

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.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

About Toast

At Toast, we're building the restaurant platform that helps restaurants adapt, take control, and thrive. The Customer Success (CS) organization plays a pivotal role in helping customers get the most out of our products and we're transforming our data capabilities to drive a new era of proactive, data-informed customer engagement. 

The CS Data & Analytics team is at the center of this transformation, building the data infrastructure that makes proactive, data-informed customer engagement possible at scale for ~150,000 restaurant locations.

Role Overview

You'll be a founding member of a newly chartered data engineering function within Customer Success, with a direct hand in shaping the architecture, tooling, domain model, and team culture from day one. This is a rare opportunity to build something from greenfield, with visibility to VP and senior CS leadership.

As an Analytics Engineer on the Customer Success Data & Analytics team, you'll bridge the gap between raw data and business-ready insights. You'll build the semantic layer, dbt models, and analytics datasets that power reporting, dashboards, and AI-driven workflows across the CS organization. Reporting to the Director of Data Infrastructure & Engineering, you'll work closely with Data Engineers, Analysts, and CS operations leaders to ensure data is not just available but trusted, consistent, and decision-ready.

This is a hands-on role focused on data modeling, metrics standardization, and analytics infrastructure, with a direct line to CS outcomes like customer retention, agent performance, and proactive customer engagement.

A day in the life (Responsibilities) 

• Build and maintain dbt models that transform raw CS source data from systems like Salesforce, Five9, Intercom, NICE, and LevelAI into clean, analytics-ready datasets across CS domains including Customer 360, case management, omnichannel interactions, and agent performance.
• Design and own the semantic and metrics layer for CS KPIs including customer health scores, CSAT, case resolution rates, handle time, and retention signals, ensuring consistent definitions across all reporting surfaces.
• Partner with CS analysts and business stakeholders to translate reporting requirements into reusable, well-documented data models.
• Implement data testing, validation, and observability frameworks to ensure CS data assets are reliable and trustworthy at all times.
• Contribute to self-service analytics enablement by building datasets and semantic models in Snowflake and Sigma/Hex that allow CS analysts and operations leaders to answer questions independently.
• Collaborate with Data Engineers to ensure upstream pipeline outputs are modeled correctly and fit for purpose for analytics use cases.
• Establish and enforce data modeling standards, naming conventions, and documentation practices that scale as the team grows.
• Support AI and ML use cases by building clean, structured feature datasets for customer health scoring, churn prediction, and agent assist models.
• Participate in code reviews, design discussions, and technical architecture planning to continually raise engineering standards.
• Ensure data pipelines, storage, and access patterns adhere to BTT data standards, security policies, and compliance requirements.
• Partner with BTT governance forums to align on design patterns, data architecture decisions, and SLA expectations.
• Maintain documentation and metadata for all data assets in accordance with established governance processes.

What you'll need to thrive (Requirements)

• 5 or more years of experience in analytics engineering, data engineering, or a related role with a strong focus on data modeling and analytics infrastructure.
• Expert-level SQL and hands-on experience with dbt for building and maintaining data models in a cloud data warehouse environment.
• Experience with Snowflake or a comparable modern data warehouse such as BigQuery or Redshift.
• Familiarity with BI and analytics tools such as Sigma, Hex, Tableau, or Looker.
• Strong understanding of dimensional modeling, metrics layers, and analytics-ready dataset design.
• Ability to translate ambiguous business requirements from non-technical CS stakeholders into clean, scalable data models.
• Demonstrated ability to implement data quality testing, monitoring, and documentation as a standard practice.
• Demonstrated ability to communicate technical tradeoffs and data concepts clearly to non-technical stakeholders, including operations and business leaders.
• Collaborative working style with experience partnering across Data Engineering, Analytics, and business operations teams.
• Strong problem-solving skills, attention to detail, and a drive to build scalable, reliable systems.
  
  

What will help you stand out (Non-essential Skills/Nice to Haves)

• Experience building and optimizing data systems that operate at significant scale, managing billions of records across multiple data domains and systems, with the foresight to design for 5-year growth and future platform scale.
• Comfort using AI-assisted development tools such as GitHub Copilot, Claude, or Snowflake Cortex AI to accelerate pipeline development, testing, and documentation, and curiosity about how GenAI can enhance data product quality.
• Experience with real-time data streaming using Kafka, Kinesis, or Pub/Sub.
• Exposure to data governance, metadata management, and observability tools.
• Background in SaaS or Customer Success analytics, including usage data, retention metrics, and customer health.
• Experience working with CS or CX-adjacent source systems such as Salesforce, Five9, Intercom, or similar CCaaS/CRM platforms, and familiarity with the data models and integration patterns they produce.
• Knowledge of data security, privacy, and compliance in cloud environments.
• Experience with CI/CD, infrastructure as code, or containerization such as Docker or Terraform.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

About Toast

At Toast, we're building the restaurant platform that helps restaurants adapt, take control, and thrive. The Customer Success (CS) organization plays a pivotal role in helping customers get the most out of our products and we're transforming our data capabilities to drive a new era of proactive, data-informed customer engagement. 

The CS Data & Analytics team is at the center of this transformation, building the data infrastructure that makes proactive, data-informed customer engagement possible at scale for ~150,000 restaurant locations.

Role Overview

You'll be a founding member of a newly chartered data engineering function within Customer Success with a direct hand in shaping the architecture, tooling, domain model, and team culture from day one. This is a rare opportunity to build something from greenfield, with visibility to VP and senior CS leadership.

As a Data Engineer on the Customer Success Data & Analytics team, you’ll design, build, and scale the data platforms and pipelines that power insights across our Customer Success organization. Reporting to the Director of Data Infrastructure & Engineering, you’ll work closely with Data Infrastructure, Analytics, Engineering, and Product teams to ensure high-quality, reliable data is accessible and actionable.

This is a hands-on engineering role focused on delivering production-grade, scalable, and reliable data systems that support analytics, reporting, and operational decision-making across Customer Success.

A day in the life (Responsibilities) 

• Design, build, and maintain scalable, production-ready data pipelines (batch and real-time) for Customer Success using modern data technologies.
• Develop and evolve data models and schemas that enable reporting, analytics, and machine learning across Customer Success functions.
• Partner with CS operations leaders across care, workforce, and CX to translate business requirements into pipeline and infrastructure priorities, ensuring data work is directly connected to customer retention and operational outcomes.
• Ensure data quality, observability, lineage, and governance are built into every data workflow.
• Implement best practices for cost-efficient, performant cloud-based data infrastructure.
• Contribute to data platform tooling and frameworks that support self-service analytics and reusability across teams.
• Actively monitor and optimize data workflows for reliability, scale, and maintainability.
• Collaborate with cross-functional stakeholders to define and track key metrics and ensure consistent data definitions.
• Participate in code reviews, design discussions, and technical architecture planning to continually raise engineering standards.
• Build and maintain semantic and metrics layer foundations (e.g., dbt metrics, Snowflake semantic layer) that enable consistent, reusable definitions of CS KPIs across reporting and analytics surfaces.
• Contribute to the design and evolution of the CS data domain model including Customer 360, omnichannel interaction data, case management, and agent performance in close partnership with cross-functional stakeholders.
  
  

Governance & Standards

Partner with Toast's Business, Technology & Transformation (BTT) organization to establish data governance practices, security policies, and architecture standards that will serve as the foundation for CS data infrastructure. As a founding team member, you'll help define the norms, not just follow them.

• Ensure data pipelines, storage, and access patterns adhere to BTT data standards, security policies, and compliance requirements.
• Partner with BTT governance forums to align on design patterns, data architecture decisions, and SLA expectations.
• Maintain documentation and metadata for all data assets in accordance with established governance processes.
  
  

What you'll need to thrive (Requirements)

• 5+ years of experience in data engineering, software engineering, or a related role building and maintaining data systems in production.
• Strong SQL skills and experience with a programming language such as Python, Scala, or Java.
• Hands-on experience with cloud-based data platforms (AWS, GCP, or Azure).
• Experience building and optimizing ETL/ELT workflows using tools such as Airflow, dbt, or similar orchestration frameworks.
• Deep understanding of data modeling, data warehousing, and pipeline design.
• Ability to write clean, maintainable, and well-tested code for data transformations and automation.
• Demonstrated ability to communicate technical tradeoffs and data concepts clearly to non-technical stakeholders, including operations and business leaders.
• Proven ability to work collaboratively with analytics, operations, and engineering teams.
• Strong problem-solving skills, attention to detail, and a drive to build scalable, reliable systems.
  
  

What will help you stand out (Non-essential Skills/Nice to Haves)

• Experience building and optimizing data systems that operate at significant scale, managing billions of records across multiple data domains and systems, with the foresight to design for 5-year growth and future platform scale.
• Comfort using AI-assisted development tools (e.g., GitHub Copilot, Claude, Snowflake Cortex AI) to accelerate pipeline development, testing, and documentation and curiosity about how GenAI can enhance data product quality.
• Experience with real-time data streaming (Kafka, Kinesis, or Pub/Sub).
• Familiarity with modern data warehouse/lakehouse technologies (e.g., Snowflake, BigQuery, Redshift, Delta Lake).
• Experience with CI/CD, infrastructure as code, or containerization (e.g., Docker, Terraform).
• Exposure to data governance, metadata management, and observability tools.
• Background in SaaS or Customer Success analytics (usage data, retention metrics, customer health).
• Experience working with CS or CX-adjacent source systems such as Salesforce, Five9, Intercom, or similar CCaaS/CRM platforms and familiarity with the data models and integration patterns they produce.
• Knowledge of data security, privacy, and compliance in cloud environments.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

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

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

*We are not accepting agency submissions at this time

ClearView is seeking an experienced Senior Manager of IT Operations to lead our global IT operations team and drive operational excellence across our growing organization of 550+ users. This role will manage a geographically distributed team across Boston, New York, United Kingdom, and India, ensuring seamless IT service delivery and support for all end users globally. 

This is a strategic leadership position that requires a service-oriented mindset with a relentless focus on enhancing the digital employee experience. You will be responsible for supporting our scaling organization through automation, modernization, and process improvement while developing and mentoring an highly motivated team committed to continuous learning and professional growth. 

The ideal candidate will bring deep technical expertise in enterprise IT operations, strong leadership capabilities, and a proven track record of managing global teams while maintaining a hands-on approach to complex technical challenges. 

Responsibilities 

End-User Services and IT Team Leadership 

• Lead the global end-user services and helpdesk function, ensuring timely, professional support for workstation, account, and application issues across all regions 

• Define and maintain clear escalation paths, handling Tier 2/3 escalations for complex issues and coordinating with other IT and security teams as needed 

• Own and continuously improve IT knowledge resources, including end-user documentation, runbooks, and standard operating procedures for common requests and incidents 

• Monitor service metrics (SLAs) and drive initiatives to reduce repeat issues and improve the digital employee experience 

• Manage, coach, and develop a geographically distributed IT operations team  

• Define roles, responsibilities, and career paths within the team, fostering a culture of ownership, and continuous improvement 

• Partner with IT, Security, and business leadership to translate business needs into IT operations roadmaps. Work with leadership to prioritize initiatives and deliver projects within scope and timeline.  

Systems Administration, Platform Ownership, and Secure Configuration 

• Oversee design, configuration, and ongoing administration of core enterprise platforms, including Microsoft 365 (Exchange Online, Teams, SharePoint, OneDrive, security features) and identity services (AD/Entra) 

• Manage endpoint and device lifecycle (laptops, phones, OS images, Intune policies), ensuring secure, consistent, and automated deployment and configuration 

• Manage software access provisioning, license management, and vendor relationships across the organization  

• Maintain and optimize network infrastructure (Meraki or similar), including offices and remote access, to ensure high availability, performance, and security 

• Administrate Zoom enterprise environment including user provisioning, room systems, and integration management  

• Oversee physical and digital security systems including access card systems and facility integrations  

• Lead automation, integration, and modernization efforts to reduce manual work and improve consistency  

• Embed security and compliance requirements into day-to-day operations, working closely with Information Security and Compliance teams to achieve alignment with standards 

• Oversee AI systems deployment and management to support business productivity and innovation 

Strategic Planning and Management 

• Partner with business stakeholders to understand evolving needs and translate them into operational improvements 

• Develop and execute the IT operations roadmap aligned with business growth objectives 

• Manage multiple concurrent projects including infrastructure upgrades, system migrations, and new technology implementations 

• Control IT operations budget, optimize costs, and provide regular financial reporting to leadership 

• Establish vendor relationships and negotiate contracts for hardware, software, and services 

• Collaborate with other IT leaders on cross-functional initiatives and enterprise architecture decisions 

• Prepare executive-level reports on operations performance, initiatives, and strategic recommendations 

 Job Qualifications 

• Bachelor's degree in Computer Science, Information Technology, Information Systems, or related technical discipline 

• Minimum 12 years of progressive experience in IT operations, infrastructure management, or related technical roles 

• At least 5 years of experience in a leadership or management position overseeing technical teams 

• Proven experience managing geographically distributed teams across multiple regions or countries 

• Strong organizational skills with ability to prioritize competing demands effectively 

• Exceptional people leadership skills with proven ability to motivate, develop, and retain high-performing teams 

• Ability to balance technical optimization with practical user experience considerations 

• Deep expertise with Microsoft 365 administration including Exchange Online, Teams, SharePoint, and security features 

• Strong background in network infrastructure management, preferably with Cisco Meraki or similar SD-WAN solutions 

• Hands-on experience with enterprise security tools such as Zscaler, endpoint protection platforms, vulnerability management, and SIEM solutions 

• Demonstrated track record of implementing automation and process improvements that delivered measurable business value 

• Experience managing IT operations for organizations with 500 – 1,000 users 

• Strong project management skills with ability to manage multiple initiatives simultaneously 

• Location: Based in New York City or Boston area with a weekly 40% in office expectation  

Additional Skills/Experience 

• Advanced degree (Master's) in Computer Science, Information Technology, or related field 

• Relevant certifications such as Microsoft 365 Certified: Enterprise Administrator Expert, ITIL Foundation, PMP, or CISSP 

• Experience in healthcare, life sciences, or professional services industries 

• Background with Zoom enterprise administration including Zoom Rooms and integrations 

• Familiarity with AI/ML platforms and deployment in enterprise environments 

• Experience with infrastructure-as-code tools (Terraform, Azure Resource Manager) 

• Knowledge of GDPR, HIPAA, or other data protection and compliance frameworks relevant to healthcare consulting 

• Prior experience with Darktrace, Rapid7, or Absolute device management platforms 

The starting salary for this position is $150,000. 

In addition to the base salary, you will be eligible for an annual discretionary performance bonus, and a comprehensive benefits package.  

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.

About the Role:

As a Cloud Security & Compliance Engineer at Mobi, you’ll partner with a dynamic, forward-thinking team to build the resilient foundations that power our cutting-edge web experiences and AI-driven solutions. You’ll play a key role as the Security Engineering SME and Systems Builder, shaping the technologies that protect our travel-planning and logistics systems, which are used by some of the world’s leading brands.

This role blends technical engineering with the meticulous follow-through needed for compliance and documentation. You’ll be a representative for our customers and a creative partner for our engineers, focusing on audit-readiness as much as secure code. It’s an engaging, high-impact role where you move the business forward by finding "the secure way" to help our team ship and scale.

Key Responsibilities:

• Develop, test, and maintain scalable security guardrails to ensure a consistent, secure-by-default posture across our AWS and GCP environments.
• Navigate the human side of security by acting as a collaborative partner to our engineering teams; you will identify missing standards, negotiate solutions, and proactively suggest "the secure way" to build features rather than acting as a gatekeeper.
• Partner with our customers' security teams to align our architecture with their specific security patterns and represent Mobi’s robust security posture during technical deep-dives and reviews.
• Translate high-level security patterns and compliance frameworks (SOC 2 and GDPR) into high-quality, hardened infrastructure code and automated evidence collection.
• Review system designs to troubleshoot vulnerabilities, debug misconfigurations, and resolve architectural security gaps before they reach production.
• Own the security lifecycle—from initial threat modeling and customer alignment through to automated testing, shipping, and audit-ready reporting.
• Implement best practices for code quality, secret management, and maintainable security patterns across the entire engineering organization.
• Stay current with cloud-native security trends, multi-cloud vulnerabilities, and emerging AI-driven security technologies to proactively protect our AI-powered solutions.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field—or equivalent practical experience in technical security.
• Strong hands-on experience securing AWS and GCP infrastructure (e.g., API Gateway, Identity, Networking, Encryption, and Logging).
• Deep understanding of technical controls for SOC 2 and GDPR.
• Deep understanding of backend APIs, and RESTful services from a Zero Trust and data protection perspective.
• Proven ability to design and implement security frameworks in ambiguous or rapidly evolving environments, building scalable processes and guardrails where none previously existed.
• Strong problem-solving skills and the ability to work cross-functionally to align security goals with developer velocity.
• Comfortable reading and navigating modern codebases (e.g., TypeScript/JavaScript or Python) to conduct security reviews and understand application logic.
• Recent experience working on AI Applications, with an understanding of privacy concerns and security risks specific to LLMs.
• Excellent interpersonal and communication skills; able to lead high-stakes technical deep-dives with enterprise partners and negotiate security standards across teams using a collaborative, "solution-first" approach.  

Bonus:

• Experience using Infrastructure as Code to build and manage secure environments (e.g., Terraform or CloudFormation/CDK).
• Experience using AI Tools (Claude Code, GitHub Copilot, etc.) to automate security policy generation and workflow audits.

Pay Transparency: