Location: Waltham, MA (hybrid- 3 days In-Office)

ERGO NEXT's mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you’ll find ERGO NEXT.

Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in.

We are looking for a talented Software Engineer to lead our Platform Engineering presence in the US. As the primary technical anchor for the Platform Engineering group in the US, you will serve as the "face" of the group for our local teams, bridging the gap between global infrastructure initiatives and the specific needs of our US-based engineers.

As part of this leadership capacity, you will take a key part in shaping our strategy we are currently embarking on: Building an Agentic (AI-based) Software Development Life Cycle. We want to move beyond simple automation to a future where AI agents assist in each and every step of the SDLC, including designing, coding, testing, and deploying our services. To achieve this, you will apply your deep coding expertise to the world of Platform Engineering and Infrastructure, ensuring our US teams are at the forefront of this AI-driven evolution.

In addition, our Platform Engineering Group is the architect and owner of NEXT’s cloud-only infrastructure at Next Insurance. You’ll leverage your expertise to treat our platform as a product, working across the full spectrum of Cloud and Applicative infrastructure. Using a wide variety of advanced technologies and tools, programming languages and cloud services, you will help us understand the challenges that our platform needs to resolve, then plan and execute projects that will improve the developers day to day and help them innovate and bring value to the business.

What You’ll Do: 

• Shape the Future of SDLC: Take a key leadership role in building our Agentic (AI-based) Software Development Life Cycle, moving beyond automation to a world where AI agents assist in designing, coding, testing, and deploying.
• Bridge Coding & Infrastructure: Apply your deep coding expertise to the world of Platform Engineering, ensuring our IL-based teams are at the forefront of the AI-driven evolution.
• Platform as a Product: Act as the architect and owner of our cloud-only infrastructure, treating the platform as a core product that serves the entire engineering organization.
• Full-Spectrum Engineering: Work across the full spectrum of cloud and applicative infrastructure to solve complex challenges using a wide variety of advanced technologies and cloud services.
• Empower Developers: Identify friction points in the developer experience, then plan and execute strategic projects that improve the day-to-day workflow of our R&D teams.
• Drive Business Value: Partner with the business to understand their needs, ensuring our platform enables fast-paced innovation and delivers tangible value through engineering excellence.

What We Need: 

• At least 6 years of experience as a Software Developer in a fast-paced cloud oriented organization.
• B.Sc. in Computer Science or equivalent
• Proven record of initiating, designing, implementing and leading meaningful projects
• A solid experience with at least one of the following languages: Java / Kotlin / JS / TS / bash / Python
• Experience with improving development processes and developer experience in general
• Must be a people person, accessible, be a proficient problem solver, which quickly adapt to new technologies
• A self-driven engineer with a deep curiosity to research and master AI technologies
• Understanding in CI/CD methodologies with a hands-on development experience of Jenkins pipelines - a major advantage
• Solid orientation to Cloud/Infrastructure-As-Code concepts - a major advantage.
• Understanding in Kubernetes & Containers - a major advantage
• Knowledge in build tools, e.g. Maven/Gradle/npm/nx  - an advantage
• Familiarity with software test methodologies and tools  - an advantage
• Familiarity with observability tools - monitoring, logging, tracing - a major advantage
• Experience with Internal Developer Portal/Platform and self serve tools (e.g. Backstage) - a major advantage

Mission Summary:

We are seeking a Verification and Validation (V&V) Lead to spearhead efforts for the Perception subsystem of our autonomy stack. Reporting directly to the Head of Perception, this critical role is responsible for the full spectrum of efforts required to close the safety case for the perception subsystem, enabling our driverless commercial launch and subsequent product expansions.

This hybrid role demands broad experience in the self-driving field, with specific competencies in: test engineering, systems and safety, data analytics and reporting, simulation technology, and leveraging AI for workload automation and insight generation. Success in this highly collaborative role also requires exceptional written and verbal communication, leadership, cross-team influence, and a consistent ability to prioritize work and deliver results.

Key Responsibilities:

• Requirements Driven Development / Test Driven Development
• Influence requirements from the perspective of problem understanding, covariate coverage, and testing capabilities/challenges.
• Educate perception engineers and be a champion for V&V best practices.
  
  
• Problem Definition and Performance Analysis
• Collaborate with autonomy and systems engineers to establish problem taxonomies and identify critical performance covariates.
• Identify or define appropriate metrics.
• Create dashboards and automate reporting.
  
  
• Perception V&V Strategy
• Establish coverage targets and identify data/testing gaps.
• Validate the test strategy and provide early feedback to developers.
• Create actionable test plans involving a spectrum of test modalities.
• Create critical tests as-needed, work cross-team to scale test creation to achieve coverage targets.
  
  
• Test Technologies
• Understand the limitations of existing tools and simulation technologies and how they impact our coverage plans.
• Advocate for engineering work to address testing and automation limitations.
• Find creative ways to get the desired signals when a straightforward approach is deemed infeasible.
  
  
• System/Subsystem Performance Boundaries
• Be a bridge between Perception and the “Systems Readiness and Performance” organization. Act as the primary point of contact between the organizations.
• Advocate for, and adopt, common processes, technology, and terminology to ensure subsystem and system level evaluations work seamlessly together.
• Ensure that we understand the system-level impact of a perception failure mode and communicate this effectively across the entire organization.
  
  

Required Qualifications:

• Education and Experience
• Bachelor's degree in a STEM field (preferred).
• Experience leading Verification and Validation (V&V) for a safety-critical product.
• V&V experience specifically with a self-driving vehicle (strongly preferred).
  
  
• Domain Expertise
• General knowledge of the self-driving vehicle software stack.
• Understanding the different types of simulation technologies used in autonomy development.
• Expertise in creating and executing V&V test strategies.
• Expertise in test set creation, test organization (tagging, requirements and deficiency linking), and structured reporting.
• Strong understanding of how performance analysis informs risk assessment, and acts as the cornerstone for “go/no-go” decisions.
• Understanding of basic descriptive statistics.
  
  
• Programming & Tools
• Proficiency in Python for light scripting, database queries, and automation.
• Familiarity with common dashboarding software.
• Familiarity with AI/Agentic coding tools to accelerate workloads.
• Experience using common software tools such as version control (Git) and build automation (Buildkite, Jenkins).
  
  
• Soft Skills
• Excellent written and verbal communication skills.
• Demonstrated ability in collaboration, leadership, innovation, and creativity.
• A track record of reliability, trustworthiness, and delivering impact.
• Ability to frame safety discussions within a grounded risk assessment framework.
  
  

Preferred Qualifications:

• Entrepreneurial experience or other evidence of being self-driven, adaptable, and results-oriented.
• Patents or other evidence of innovation and creativity.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

We are seeking a Verification and Validation (V&V) Lead to spearhead efforts for the Perception subsystem of our autonomy stack. Reporting directly to the Head of Perception, this critical role is responsible for the full spectrum of efforts required to close the safety case for the perception subsystem, enabling our driverless commercial launch and subsequent product expansions.

This hybrid role demands broad experience in the self-driving field, with specific competencies in: test engineering, systems and safety, data analytics and reporting, simulation technology, and leveraging AI for workload automation and insight generation. Success in this highly collaborative role also requires exceptional written and verbal communication, leadership, cross-team influence, and a consistent ability to prioritize work and deliver results.

Key Responsibilities:

• Requirements Driven Development / Test Driven Development
• Influence requirements from the perspective of problem understanding, covariate coverage, and testing capabilities/challenges.
• Educate perception engineers and be a champion for V&V best practices.
  
  
• Problem Definition and Performance Analysis
• Collaborate with autonomy and systems engineers to establish problem taxonomies and identify critical performance covariates.
• Identify or define appropriate metrics.
• Create dashboards and automate reporting.
  
  
• Perception V&V Strategy
• Establish coverage targets and identify data/testing gaps.
• Validate the test strategy and provide early feedback to developers.
• Create actionable test plans involving a spectrum of test modalities.
• Create critical tests as-needed, work cross-team to scale test creation to achieve coverage targets.
  
  
• Test Technologies
• Understand the limitations of existing tools and simulation technologies and how they impact our coverage plans.
• Advocate for engineering work to address testing and automation limitations.
• Find creative ways to get the desired signals when a straightforward approach is deemed infeasible.
  
  
• System/Subsystem Performance Boundaries
• Be a bridge between Perception and the “Systems Readiness and Performance” organization. Act as the primary point of contact between the organizations.
• Advocate for, and adopt, common processes, technology, and terminology to ensure subsystem and system level evaluations work seamlessly together.
• Ensure that we understand the system-level impact of a perception failure mode and communicate this effectively across the entire organization.
  
  

Required Qualifications:

• Education and Experience
• Bachelor's degree in a STEM field (preferred).
• Experience leading Verification and Validation (V&V) for a safety-critical product.
• V&V experience specifically with a self-driving vehicle (strongly preferred).
  
  
• Domain Expertise
• General knowledge of the self-driving vehicle software stack.
• Understanding the different types of simulation technologies used in autonomy development.
• Expertise in creating and executing V&V test strategies.
• Expertise in test set creation, test organization (tagging, requirements and deficiency linking), and structured reporting.
• Strong understanding of how performance analysis informs risk assessment, and acts as the cornerstone for “go/no-go” decisions.
• Understanding of basic descriptive statistics.
  
  
• Programming & Tools
• Proficiency in Python for light scripting, database queries, and automation.
• Familiarity with common dashboarding software.
• Familiarity with AI/Agentic coding tools to accelerate workloads.
• Experience using common software tools such as version control (Git) and build automation (Buildkite, Jenkins).
  
  
• Soft Skills
• Excellent written and verbal communication skills.
• Demonstrated ability in collaboration, leadership, innovation, and creativity.
• A track record of reliability, trustworthiness, and delivering impact.
• Ability to frame safety discussions within a grounded risk assessment framework.
  
  

Preferred Qualifications:

• Entrepreneurial experience or other evidence of being self-driven, adaptable, and results-oriented.
• Patents or other evidence of innovation and creativity.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

We are seeking a Verification and Validation (V&V) Lead to spearhead efforts for the Perception subsystem of our autonomy stack. Reporting directly to the Head of Perception, this critical role is responsible for the full spectrum of efforts required to close the safety case for the perception subsystem, enabling our driverless commercial launch and subsequent product expansions.

This hybrid role demands broad experience in the self-driving field, with specific competencies in: test engineering, systems and safety, data analytics and reporting, simulation technology, and leveraging AI for workload automation and insight generation. Success in this highly collaborative role also requires exceptional written and verbal communication, leadership, cross-team influence, and a consistent ability to prioritize work and deliver results.

Key Responsibilities:

• Requirements Driven Development / Test Driven Development
• Influence requirements from the perspective of problem understanding, covariate coverage, and testing capabilities/challenges.
• Educate perception engineers and be a champion for V&V best practices.
  
  
• Problem Definition and Performance Analysis
• Collaborate with autonomy and systems engineers to establish problem taxonomies and identify critical performance covariates.
• Identify or define appropriate metrics.
• Create dashboards and automate reporting.
  
  
• Perception V&V Strategy
• Establish coverage targets and identify data/testing gaps.
• Validate the test strategy and provide early feedback to developers.
• Create actionable test plans involving a spectrum of test modalities.
• Create critical tests as-needed, work cross-team to scale test creation to achieve coverage targets.
  
  
• Test Technologies
• Understand the limitations of existing tools and simulation technologies and how they impact our coverage plans.
• Advocate for engineering work to address testing and automation limitations.
• Find creative ways to get the desired signals when a straightforward approach is deemed infeasible.
  
  
• System/Subsystem Performance Boundaries
• Be a bridge between Perception and the “Systems Readiness and Performance” organization. Act as the primary point of contact between the organizations.
• Advocate for, and adopt, common processes, technology, and terminology to ensure subsystem and system level evaluations work seamlessly together.
• Ensure that we understand the system-level impact of a perception failure mode and communicate this effectively across the entire organization.
  
  

Required Qualifications:

• Education and Experience
• Bachelor's degree in a STEM field (preferred).
• Experience leading Verification and Validation (V&V) for a safety-critical product.
• V&V experience specifically with a self-driving vehicle (strongly preferred).
  
  
• Domain Expertise
• General knowledge of the self-driving vehicle software stack.
• Understanding the different types of simulation technologies used in autonomy development.
• Expertise in creating and executing V&V test strategies.
• Expertise in test set creation, test organization (tagging, requirements and deficiency linking), and structured reporting.
• Strong understanding of how performance analysis informs risk assessment, and acts as the cornerstone for “go/no-go” decisions.
• Understanding of basic descriptive statistics.
  
  
• Programming & Tools
• Proficiency in Python for light scripting, database queries, and automation.
• Familiarity with common dashboarding software.
• Familiarity with AI/Agentic coding tools to accelerate workloads.
• Experience using common software tools such as version control (Git) and build automation (Buildkite, Jenkins).
  
  
• Soft Skills
• Excellent written and verbal communication skills.
• Demonstrated ability in collaboration, leadership, innovation, and creativity.
• A track record of reliability, trustworthiness, and delivering impact.
• Ability to frame safety discussions within a grounded risk assessment framework.
  
  

Preferred Qualifications:

• Entrepreneurial experience or other evidence of being self-driven, adaptable, and results-oriented.
• Patents or other evidence of innovation and creativity.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Summary 

As a CNAPP Cloud Security Engineer, you will be part of a growing team of highly skilled cybersecurity experts providing delivery services for customers in several verticals.  Your primary responsibilities revolve around partnering with our customers to advise, develop, implement, and run CNAPP Cloud Security tools. You will constantly learn about and utilize the newest cloud security technologies, such as CNAPP, IaC, CSPM, and CWPP technologies.

Role and Responsibilities:

• Perform implementation of CNAPP and CSPM tools in multi-account AWS and Azure environments.
• Implement IaC scanning tools within the CI/CD Pipelines.
• Develop Infrastructure as code in Cloud Formation or Terraform.
• Develop custom control checks within CNAPP Platforms using JSON, REGO, or Terraform.
• Analysis – identifies and evaluates potential threats and vulnerabilities to the public cloud environments network, applications, infrastructure, and systems.
• Issue Resolution – leads the resolution of identified issues in public cloud environments.
  • Vulnerabilities – Cloud, System, and Application
  • Compliance – CIS, NIST, AWS, and Azure best practices.
  • Cloud Entitlements – Excessive Permissions and various IAM best practices.
  • Secrets – unprotected secrets on VMs, Containers, and IaC repositories.
  • IaC – misconfigurations and vulnerabilities within developed IaC.
• Deep understanding of Kubernetes and microservices security best practices.
• Performs container registry scanning.
• Reviewing and creating metrics, KPIs, and KRIs to track overall cloud security posture.
• Create, maintain, and update runbooks for cloud configuration checks.
• Assess the overall security posture of cloud security infrastructure and workloads.
• Advise customers on Cloud security best practices.

Experience, Education, and Technical Requirements.

• At least 3 years of experience working in Cloud Security with Amazon AWS, Microsoft Azure, or GCP.
• Experience with Cloud Security tools like: Wiz.io, Orca, Lacework, Trivy, Aqua, Ermetic or Prisma Cloud
• Experience with integrating tools into development pipelines such as Azure DevOps, Jenkins, Etc.
• Understanding of a broad range of Cloud Security issues as well as their mitigation strategies
• Understanding of Cloud Security-related vulnerabilities
• Experience developing code in Terraform, Python, PowerShell, Rego, and other languages.
• Written communication skills for written interactions with clients
• Strong communication skills include articulating thoughts and refining complex problems into digestible information clearly.
• Ability to manage time independently while handling multiple projects concurrently.
• Bachelor’s degree in computer science or information Security preferred
• Cloud Security certifications are preferred.

Role overview

As the Technical Product Manager (TPM) for the Pipelines & Automation (PnA) team within Engineering Platform, you will own the CI/CD pipeline platform, software quality tooling, and test automation frameworks that enable all of CarGurus engineering to deliver code faster and with higher confidence.

You will create vision, drive requirements and the roadmap, and support the team by propelling critical initiatives that will fuel our ability to innovate, move quickly, and stay ahead of the competition while embracing and utilizing AI capabilities. That includes our CI modernization (continuing the onboarding of a SaaS CI platform), continued expansion of our Continuous Deployment (CD) pipeline, contract testing, quality gates and frameworks, and the integration of AI-augmented testing and pipeline capabilities.

You will be part of a team of technical product managers who collaborate closely with internal stakeholders to deliver products and systems that directly impact the success of the entire engineering organization.

What you'll do

• Build a strong partnership with the Engineering Platform team — and specifically the Pipelines & Automation squad — to support their service-oriented position within the organization.
• Gain a deep understanding of our CI/CD platform, quality frameworks, pipeline capabilities, and the unique challenges we face as a rapidly growing company.
• Co-own the team's vision and roadmap; generate buy-in and facilitate cross-functional collaboration with a wide range of technical stakeholders across Product Engineering, Data Engineering, Data Science, and other platform teams.
• Complete the CI modernization initiative — design for remaining teams, migration planning, and rollout to engineering teams.
• Champion continued adoption and maturation of our CD pipeline (TTMA), including progressive delivery patterns such as canary analysis and automated rollbacks.
• Own the product direction for quality gates, test automation frameworks, contract testing, and quality metrics collection that are embedded within the pipeline.
• Ensure that prioritization of work aligns with high-level strategies and business objectives.
• Identify opportunities to leverage AI and agentic workflows to improve pipeline reliability, test generation, and developer feedback loops.
• Maintain high levels of engagement with stakeholders through various forms of written and verbal communication, including roadmaps, project plans, status reports, and executive presentations.
• Advocate for adoption of frameworks, tooling, and pipeline capabilities being built out by the centralized platform team.

What you'll bring

• 5+ years of product management experience, including working with engineering teams. Prior engineering background is a plus.
• Familiarity with CI/CD platforms and tooling — experience driving requirements and management of systems such as GitHub Actions, CircleCI, Concourse, Jenkins, or similar. Understanding of pipeline-as-code, declarative pipeline configuration, and progressive delivery patterns (canary, blue-green).
• An understanding of software quality automation best practices, industry standards, and tooling — including quality gates, test automation frameworks, and contract testing.
• Experience gathering requirements from internal engineering customers while filtering into strategic direction.
• Strong judgment to prioritize various incoming and generated requirements based on value-add to the organization.
• A passion for improving the developer experience through reliable, fast, and transparent build and delivery processes.
• An enthusiasm for utilizing AI tools to accelerate your work as well as how AI can enable and accelerate engineering.
• Strong team player with high emotional intelligence and the ability to bring people together across varying personality types and work styles.
• Tenacious self-starter with the ability to work independently, particularly in a highly cross-functional or matrixed environment.
• Excellent written and verbal communication skills.
• The ability to research and propose new tooling to be introduced that will help improve software quality and pipeline reliability.
• The capability to influence quality and delivery transformations by working closely with critical stakeholders.

About SimpliSafe

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why are we hiring?

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.

What You’ll Do

• Build and evolve hardware-in-the-loop (HIL) test automation infrastructure to provide rapid, production-like feedback on firmware and system behavior
• Develop and maintain validation frameworks, test harnesses, and environments tailored for embedded and distributed systems
• Create and maintain build and automation pipelines for firmware, including packaging, testing, and deployment workflows
• Use Infrastructure as Code (IaC) to provision and manage scalable development and validation environments
• Implement monitoring and logging to track validation system health, performance, and reliability
• Conduct early reviews of product requirements, specifications, and designs to shift validation left and identify issues before implementation
• Troubleshoot and resolve validation, build, and deployment issues to ensure high system availability and fast feedback cycles

What You’ll Bring

Required

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 5+ years of experience in software development, system validation, or automated testing for distributed or embedded systems
• Strong programming skills in Python (PyTest or similar frameworks) with solid object-oriented design principles
• Experience designing and implementing automation frameworks or system-level validation across distributed or embedded systems
• Experience with CI/CD systems (e.g., Jenkins, GitHub Actions) and build pipelines for complex systems
• Strong debugging and problem-solving skills across system layers (firmware, services, APIs, infrastructure)
• Ability to work independently and collaboratively in cross-functional environments, with strong communication skills

Strongly Preferred

• Experience with hardware-in-the-loop (HIL) testing, device simulation, or embedded/IoT systems
• Experience with build tools and dependency management (e.g., CMake, Conan)
• Familiarity with containerization and orchestration (Docker, Kubernetes)
• Experience with networking and wireless protocols (TCP/IP, WiFi, Bluetooth, LTE)
• Experience implementing monitoring, logging, and observability in validation or CI systems
• Experience working in Agile/Scrum environments and driving improvements in engineering workflows

What Values You’ll Share

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

What We Offer

• A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive  
• A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)
• Free SimpliSafe system and professional monitoring for your home. 
• Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.

The target annual base pay range for this role is $118,100 to $173,300

This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees’ job-related skills, experience, qualifications, work location, and other relevant business factors. 

Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.

We’re committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.

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).

In the time it takes you to read this job description, RapidSOS will have handled ~1,380 emergencies.

At RapidSOS, we are committed to using technology to build a safer, stronger future and working together to save lives. We’re in an exciting phase of growth, welcoming new members from across the globe to our mission-driven, ambitious, and inclusive team. Our work is founded on our values of elevating purpose, inventing tomorrow, delivering with urgency, serving with integrity, and winning together, all of which support a company culture where people can innovate, collaborate, grow, and, above all, make an impact. 

RapidSOS is ​​the leading public safety AI company that unlocks mission-critical intelligence for first responders and security teams – enabling faster, smarter and more accurate emergency response. Real-time data from the world’s largest safety network of 700M+ devices, 200+ global enterprises, and 23,000+ federal, state and local agencies fuels the RapidSOS HARMONY AI engine that delivers this intelligence to those who need it most. Learn more at www.RapidSOS.com.

What this role is about:
Are you excited to work on systems where reliability directly impacts real-world outcomes? At RapidSOS, we build technology that powers emergency response, ensuring critical data gets to the right place at the right time. When these systems degrade or fail, the impact is real and reliability isn’t a background function. It’s fundamental to how our product shows up in critical moments.

We’re seeking a Senior Site Reliability Engineer to own the performance and stability of services that operate at scale in real-world, high-stakes environments. You’ll work across infrastructure-as-code, container orchestration, CI/CD pipelines, and service-level application code, identifying and resolving issues at their root cause while proactively shaping how systems are built to improve reliability from the start. You’ll go beyond surface-level fixes, digging into everything from service behavior in Kubernetes to application-level decisions that impact performance, cost, and reliability. You’ll collaborate closely with engineering teams to improve how our systems are built, observed, and operated. Along the way, you’ll help shape how we approach reliability as a discipline—closing visibility gaps, improving resilience, and ensuring our platform performs when it matters most.

What you’ll do: 

• Own performance and reliability outcomes: Ownership of how application-level decisions create system-level impact, including connection pooling, database architecture, traffic routing patterns, and memory allocation. Collaboration with engineering teams that own specific domains, partnering directly to improve reliability and performance across their systems.
• Design for system resilience: Responsibility for strengthening reliability through proactive design decisions, including safer deployment patterns, failover strategies, and redundancy approaches that improve system behavior under stress.
• Build observability into system behavior: Proactively instrument services with structured logging, metrics, and alerting so systems are easier to understand and debug. The focus is on creating clear signals from production behavior before issues escalate.
• Own incidents from signal to resolution: Ownership of production issues from first signal through resolution, including investigation across infrastructure and application layers, root cause identification, and implementation of fixes that restore stability and strengthen system behavior long term.
• Work across the stack without a permission slip: You’ll work across infrastructure-as-code, container orchestration, CI/CD pipelines, and service-level application code. When issues come up, you don’t wait for a handoff—ownership is taken directly and driven through to resolution.

What we’re looking for in our ideal candidate: 

• 5+ years of professional engineering experience with deep expertise in Python 
• Real cloud infrastructure experience with AWS: networking, managed databases, cost implications of traffic routing decisions, IAM, DNS-based routing and failover
• Hands-on kubernetes experience with containerized workloads in production across EKS, ECS, or Fargate, you can read events, understand resource limits, know when to drain vs. delete a node, and understand the tradeoffs between orchestration models
• Strong understanding of distributed systems and how they fail, including resource exhaustion, replication lag, queue backpressure, and other common failure modes
• Experience operating high-throughput messaging systems (RabbitMQ, Kafka, AWS SNS / SQS, etc.)  and the infrastructure around them, including infrastructure-as-code (e.g., Terraform) and CI/CD pipelines, with an emphasis on improving reliability and scalability
• Experience building or improving observability through logging, metrics, and alerting
• Demonstrable experience in using AI to safely and securely enhance velocity, improve reliability and recoverability of services
• Strong communication and interpersonal skills; is a team player with a positive attitude 
• Highly self-motivated; ability to adapt and learn quickly in a fast-paced environment with a strong sense of ownership
• Strong proficiency in coding best practices – ability to write clean, maintainable, and testable code 
• Demonstrated expertise in problem solving – comfortable working across both infrastructure and application layers to diagnose and resolve issues at the source
• Ability and willingness to collaborate in-person a few times per quarter, or as needed

Nice-to-have experience (but not required!):

• Experience supporting production systems in an on-call or similar capacity where reliability matters
• Experience with observability and GitOps tooling; hands-on with Datadog (APM, alerting), Elasticsearch/OpenSearch, and ArgoCD-based GitOps deployments; comfortable modernizing legacy CI/CD pipelines (e.g., Concourse, Jenkins) toward cloud-native approaches

What we offer: 

• The chance to work with a passionate team on solving one of the largest challenges globally 
• Competitive salary and benefits and equity participation 
• A dynamic, flexible and fun start-up work environment with a highly talented team

If you're curious to learn more about RapidSOS, you can check out https://rapidsos.com/blog/ 

Starting pay for a successful applicant will depend on a variety of job-related factors, which may include experience, relevant skills, training, education, location, business needs, or market demands. The salary range for this role is $160,000 - $195,000. This role will also be eligible to receive equity options. #LI-Remote

About Us

We are on a mission to accomplish the impossible and build a safer future of autonomous and robotic machines. We are looking for a growth-minded and dynamic Infrastructure Engineer - Hardware-In-the-Loop (HIL) who embodies our values of excellence, ownership, collaboration, and effective communication.

Role Overview

We are seeking a Senior Engineer focused on building and scaling HIL test infrastructure and automation platforms. This role goes beyond test execution — you will design multi-bench systems, CI/CD-driven workflows, and reliable lab infrastructure to enable efficient, repeatable validation of Fort products.

Responsibilities

• Design and scale Hardware-in-the-Loop (HIL) benches for system and device-level validation
• Build infrastructure for multi-bench orchestration (scheduling, parallel execution, resource management)
• Build and manage DevOps workflows for test infrastructure, including pipeline automation, environment provisioning, and artifact management.
• Design and integrate CI/CD pipelines for hardware-based testing
• Build containerized (like Docker) environments for reproducible test execution
• Develop systems to control hardware programmatically (power, connectivity, devices)
• Improve lab infrastructure, fixtures, and test environments for scalability and reliability
• Build logging, metrics, and observability systems for debugging and traceability
• Collaborate with firmware, cloud, and hardware teams to resolve system-level issues
• Mentor engineers and drive best practices for scalable test infrastructure

Qualifications

• Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, Computer Science, or related discipline preferred
• 5+ years of experience in embedded systems, robotics, or hardware-software systems
• Strong experience with HIL/SIL systems or test infrastructure
• Proficiency in Python for automation/framework development
• Experience designing automation systems at scale (multi-device, multi-environment, or distributed systems)
• Strong experience with CI/CD systems (GitLab, Jenkins, or similar), including pipeline design and automation workflows
• Experience with containerization technologies (Docker) and building reproducible development and test environments
• Familiarity with DevOps practices and scalable system design
• Experience with embedded communication protocols (Ethernet, CAN, BLE, Wi-Fi)
• Strong debugging skills across hardware and software systems
• Ability to design modular, maintainable systems and work cross-functionally

Preferred

• Experience with distributed systems or orchestration platforms
• Experience with cloud/logging tools (Azure, Grafana, etc.)
• Knowledge of safety standards (IEC 61508, ISO 26262)
• Hands-on hardware/fixture design experience
• Interest in applying AI/ML in daily engineering workflows

At Klaviyo, the ARIA (Applications, Resources, Intelligence, and Automations) team is building the AI systems that transform how our employees work. We are looking for a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools from the ground up. This role sits at the intersection of applied AI research and full-stack software engineering. You will own everything from LLM integration architecture and RAG system design to CI/CD pipeline management and production observability. If you want to build AI that real people use at scale every day, this is the role for you.

You will report into the Director of AI and App Engineering and ….

How you’ll make a difference:

• Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance.
• Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability.
• Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees.
• Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies.
• Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale.
• Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques.
• Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently.
• Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting.
• Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production.
• Drive security and compliance in AI systems: Ensure AI integrations follow data privacy best practices, implement guardrails for sensitive data handling, and maintain compliance with Klaviyo security and governance standards.

Who you are: 

• 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production.
• Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API.
• Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks.
• Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI.
• Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models.
• Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi.
• Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Quality Engineer Rotational Program – Early Career

About InterSystems

InterSystems powers mission-critical applications in healthcare, financial services, government, and other industries. Our data platform, interoperability solutions, and analytics technologies help organizations solve complex problems and deliver meaningful outcomes. With a focus on innovation and client success, we support systems that make a real-world impact.

The Quality Development Rotational Program is a rotational experience for soon-to-be graduates (BS, MS or PhD) who are interested in the delivery of high-assurance software through advanced testing, validation, and system-level analysis. QDP engineers partner with development teams across the company to implement test automation, build continuous integration (CI) pipelines, and identify root causes of bugs and regressions in complex, distributed systems.

We focus on software quality at scale—from performance profiling to security testing—to ensure our platforms are robust, reliable, and ready for real-world use.

Program Highlights:

• 3-week onboarding and training: Learn core technologies, debugging techniques, and best practices.
• Two 6-week team rotations: Gain hands-on experience with different tools, workflows, and testing strategies across our product teams (HealthShare, IntelliCare, Data Platforms).
• Mentorship and support: Work closely with experienced engineers for guidance and career development.
• Team placement: At the end of the program, participants transition to their long-term team based on interest, fit, and business needs.

Why Join Us?

• Cross-Team Experience: Gain exposure to interoperability platforms, data infrastructure, and clinical systems.
• Supportive Mentorship: Learn from seasoned engineers with insight into best practices and career planning.
• Career Path: Transition into a full-time role with growth opportunities in test automation, performance engineering, or security testing.

What We’re Looking For

Education & Background

• Soon-to-be graduates with a degree in Computer Science, Software Engineering, Mathematics, Physics, or a related STEM field. Graduation dates ranging from December 2025 to August 2026.

Technical Skills

• Proficiency in object-oriented programming (e.g., Java, Python, C++, C#).
• Exposure to scripting languages (e.g., Bash, PowerShell, Batch scripting).
• Familiarity with unit testing frameworks (e.g., JUnit, pytest, NUnit) and test automation tools.
• Understanding of version control (Git preferred) and CI/CD tools (e.g., Jenkins, GitLab CI).
• Interest or experience in debugging, test-driven development, or software diagnostics.

Professional Attributes

• Strong analytical and problem-solving skills.
• Attention to detail and ability to spot edge cases and performance issues.
• Eagerness to learn, adapt, and grow in a technical, fast-paced environment.
• Passion for software quality and building systems that make a real-world impact.

We are an equal-opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E-Verify Employer in the United States.

Role Overview  
We are looking for a  Sr. Control System Engineer/Site Reliability Engineer (SRE) to integrate and maintain the hardware and software systems that enable QuEra’s quantum controls and software stack. You’ll work closely with software engineers, physicists, hardware and test engineers to install, upgrade, maintain, test and troubleshoot multiple hardware and software control systems for our Quantum Computers. This role is a foundational systems engineering role to ensure the reliability, stability, and operational functionality of both our development and production environments.  

Key Responsibilities  

• Implement, maintain and test software and hardware in a heterogeneous system that controls disparate computer system devices. 

• Define, document, implement and test procedures for QuEra’s Quantum computer operations. 

• Manage science, development and testing infrastructure, including hardware-in-the-loop (HIL) setups, containerized services (K8S), routers, switches, and test systems. 

• Propose, and/or implement automated provisioning, configuration, and orchestration of local and remote compute systems used in controlling and testing, simulations.  

• Collaborate with software and test engineering teams to ensure smooth integration/deployment of DevOps tools with custom hardware and quantum-specific workflows.  

• Maintain artifact repositories, test result dashboards, and infrastructure for tracking regressions and system health.  

• Establish and enforce best practices for access control, system configuration, and lab operations.  

• Support incident response, troubleshooting, and root cause analysis for CI/CD failures or system anomalies. 

• Implement automation for monitoring and alerting for systems and services, integrating logs and metrics from embedded systems, test benches, and orchestration layers. 

• Work with CI/CD pipelines for building, testing, and deploying software and firmware across the quantum control stack. 

Required Qualifications  

• Practical implementation of LAN and WAN technologies on switches and routers (to include but not be limited to VLAN configuration, DNS, DHCP, and TCP/IP based services) 

• Practical Linux (Ubuntu, Debian, Redhat) and Windows Administration experience, to include but not be limited to network operations and, application installation and debugging 

• Proficiency in scripting languages such as Python, Bash, or Go, and familiarity with tools like Docker, Git, and Kubernetes.  

• Experience with CI/CD tools (e.g., GitLab CI, Jenkins) and infrastructure-as-code platforms (e.g., Ansible, Terraform, or similar).  

• Familiarity with observability tools (e.g., Grafana, Prometheus, ELK stack) and logging systems for real-time data monitoring.  

• Hands on experience with rack mount servers 

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

• 10+ years of experience in a Network SQA, Systems Engineering, SRE, or infrastructure engineering roles.  

Preferred Qualifications  

• Experience supporting hybrid systems involving embedded devices, custom hardware, or real-time control systems.  

• Knowledge of secure software deployment and Product life cycles.  

• Experience with hardware-in-the-loop pipelines or distributed lab/test automation environments.  

• Exposure to scientific computing, HPC, or quantum software stacks is a plus.  

• Ability to thrive in fast-moving, interdisciplinary R&D teams.  

Salary range is $160,000-$225,000. We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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.

The Toast POS app is the central pillar of Toast’s restaurant products. Every day, hundreds of thousands of servers, hosts, bartenders, and chefs use Toast’s POS to serve millions of guests. Our POS product is constantly evolving, and the POS Productivity team builds the platform that makes this evolution possible.

Our mission is to make it as easy as possible for 150+ Android engineers to develop new features and deliver them with high confidence and quality. We are customer-obsessed—our customers are our fellow developers, and luckily for us, they are just a Slack message away! We strive to make it easy for people to do the right thing by default.

The team manages a broad technical domain, including CI/CD, the local developer experience, and release engineering for the POS app. Its projects cover Android app development, Java and Kotlin Cloud services in AWS, React UIs, and more. The team is an excellent fit for Android engineers with experience with mobile DevOps–CI/CD, and build and release processes.

The team’s current primary goals are boosting build speeds and significantly reducing our lead time to value by optimizing POS developers’ build/test cycles, and making updates to the mobile app release platform to allow Toast to manage concurrent releases across multiple projects.

A day in the life (Responsibilities)

• Technical Leadership: Act as an IC leader, taking ownership over the team’s domain, health, and ongoing efforts. Promote a positive, engaged engineering culture.
• Strategic Problem Solving: Don’t just move from project to project; systematically identify the highest ROI problems to solve and build alignment with stakeholders across the organization.
• Team Building & Mentoring: Actively build the team and mentor engineers to grow their technical and professional skills.
• Execution Excellence: Deliver rapid, high-quality output, leveraging AI tooling to accelerate development and improve code quality.
• Metrics & Observability: Define what “good” and “better” look like using high signal-to-noise metrics. Proactively identify ways to reduce ad-hoc toil and improve system health.
• Collaborative Problem Solving: Partner closely with the developer community, release manager and QA functions to develop DevEx, feature flag (FF) management and release strategies.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• Deep experience with Android development and a strong interest in full-stack work (Java/Kotlin Cloud services, React UIs).
• Proven experience in mobile CI/CD and release engineering, particularly with Jenkins and Gradle.
• A self-starter who takes initiative without waiting for direction and thrives in a fast-paced environment.
• Passionate about improving the day-to-day lives of fellow engineers and removing friction from their workflows.
• Ability to explain complex technical tradeoffs to diverse audiences and build consensus among technical leads.
• Experience using AI tools to enhance productivity and a drive to automate "the right thing" by default.

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.

#LI-REMOTE

At Klaviyo, the ARIA (Applications, Resources, Intelligence, and Automations) team is building the AI systems that transform how our employees work. We are looking for a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools from the ground up. This role sits at the intersection of applied AI research and full-stack software engineering. You will own everything from LLM integration architecture and RAG system design to CI/CD pipeline management and production observability. If you want to build AI that real people use at scale every day, this is the role for you.

You will report into the Director of AI and App Engineering and ….

How you’ll make a difference:

• Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance.
• Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability.
• Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees.
• Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies.
• Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale.
• Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques.
• Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently.
• Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting.
• Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production.
• Drive security and compliance in AI systems: Ensure AI integrations follow data privacy best practices, implement guardrails for sensitive data handling, and maintain compliance with Klaviyo security and governance standards.

Who you are: 

• 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production.
• Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API.
• Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks.
• Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI.
• Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models.
• Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi.
• Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Why You Should Join the Channel Processing Team 

The Channel Processing team has direct technical responsibility for Klaviyo’s most-used engagement product. It is responsible for designing, building and operating highly-scalable, highly-available distributed systems to process ever-increasing campaign traffic. Our systems are used by hundreds of thousands Klaviyo customers to schedule/process tens of thousands campaigns and deliver over 1B messages every day. Besides the daily high volume traffic, the more challenging task is to  deal with super spiky volume at online sale seasons. During the 2025 Black Friday and Cyber Monday, over 10B messages got processed and delivered through our system without any manual intervention. We’re proud of these achievements and passionate about continually scaling and evolving our systems to support and help drive Klaviyo’s rapid growth by using modern technologies and patterns.  Going beyond the established channels, this team is aiming to build a highly generic and extensible campaign platform to empower the new emerging message channels in future by leveraging our years of experience/expertise. If you like to take on new challenges working on large-scale, complex systems, come join us.

How You Will Make a Difference 

• In this role, you will own and build features/services that hundreds of thousands of Klaviyo customers rely on daily to drive their business forward.
• Work on crafting our highly-scalable, highly-available campaign pipeline that processes and delivers hundreds of millions of messages daily growing to billions scale.
• Collaborate radically with teams and stakeholders across Klaviyo on designs, implementations, and engineering practices.
• Learn new technologies, bring them to the team and apply them to evolve our systems to the next level.
• Help us improve our experimentation and development processes, and mentor other engineers on the team.
• Participate in the technical interview process to help maintain a high bar for our growing teams
• Contribute to the company as a subject matter expert, constantly pushing yourself to be a better engineer and to level up all of your peers within your team and within Klaviyo.

Who You Are 

• Have 4-6+ years of experience in a software engineering discipline and have architected, built and delivered at least one complex system.
• Experience on large-scale system architecture, technologies and patterns. Have a good understanding of their pros/cons and use scenarios, able to apply them to system design by making appropriate tradeoffs to meet the business needs best.
• Love digging into performance and scalability issues to drive breakthrough solutions-- whether it's a performance degradation or too many clicks in a workflow, a database query timing out, or a queue that just won’t drain. You recognize all problems can be solved.
• Passionate about growing and improving a product daily using a data driven mindset, familiar with system monitoring and alerting techniques.
• Proven experience with being a coach and a mentor for team members and helping them grow.
• Like working on small, high-performing autonomous agile teams. At Klaviyo, you will have ownership of features, but you'll collaborate radically with everyone to make sure we produce the right solution.

Technologies we use (not exhaustive):

Languages & Frameworks: Python, Django, React

Data & Infrastructure: MySQL, Redis, Memcached, Apache Zookeeper, Apache Pulsar

Cloud & DevOps: AWS (EC2, RDS, Aurora), Terraform, Jenkins

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Locations: Quincy, MA (near Boston, MA)

Salary: $64,550 USD

Want to start your career as a software Developer?

Paid graduate training, ongoing support, opportunities at leading global employers – the Alumni graduate program gives you everything you need. (And don’t worry, there’s no training bond. No exit fees, no hidden catches).

Here at mthree, we pair great graduates with brilliant global businesses. Our clients include tier one investment banks and other organizations across a range of industries, from insurance to healthcare to travel.

As part of the mthree Alumni program, mthree has an exciting and exclusive partnership with Columbia Univ. School of Engineering. All mthree Alumni are eligible to receive two Executive Education certificates from Columbia Engineering as part of their Academy and industry placement experience at no cost. Further, all participating Alumni will have access to the Columbia Engineering network and ongoing training.

What you’ll do:

As a software developer with mthree, you’ll build complex applications in a global team environment.

You’ll love seeing the impact you make when code you’ve written launches to the people who need it. If you stay on the lookout for new ways to get better results through software development, you’ll become an asset to your team.

What you'll need:

• Bachelor's degree in computer science or a related STEM subject (science, technology, engineering, math).
• A GPA of 2.75 or higher. We look for potential, not prestige, but it’s important that you enjoy pushing yourself to pick up new ideas.
• Experience on Core Java, Micro services , REST, Test Driven Design, Oracle, GIT, JUnit, Jenkins, MQ, KAFKA.
• Full stack Java developer with excellent Object Oriented design skills, JavaEE, messaging and database development.
• Front-end GUI skill sets to work on all aspects of multiple web-based and machine-to-machine API based applications.
• Passionate about software development with Java / JAVA J2EE/ React Js / REST and SOAP web services using Java.
• Knowledge on relational databases like Oracle / DB2 and SQL
• Ability to troubleshoot, taking an analytical approach to solve problems.
• The right to work in the US without needing visa sponsorship.

What you'll get:

• In-depth interactive training in small classes with graduates like you. Our training is created and delivered by industry experts who know your field inside out.
• A competitive salary.
• A flexible benefit package.
• Ongoing training, support and social events throughout your placement.
• An opportunity to kickstart your career and gain valuable experience in an attractive and exciting industry.

How the Alumni program works:

1. Apply via this job advert.
2. Complete our assessment and interview process.
3. Get professional interview preparation from our staff.
4. Get trained at mthree Academy prior to starting the role.
5. Join a mthree client for 12 months while receiving support throughout your first year.
6. The vast majority then convert to permanent employees with the client at the end of the programs.

We take great pride in celebrating the diversity of each and every individual who contributes to making mthree the company it is today and will be in the future. We value diversity both within mthree and with our partner companies, and we're proud to provide an environment where all our colleagues can flourish. That means promoting a strong culture of equality but, most importantly, inclusion. We never want people to change - only add to the amazing mix of people that work for mthree.

Applicants must be currently authorized to work in US on a full-time basis. The Company will not sponsor applicants for work visas.