Senior Software Engineer

CloudZero is the first Site Reliability Management platform that allows businesses to predict failure in their cloud systems before it happens. Unlike existing solutions that inform you after a failure has occurred, CloudZero's platform enables you to discover and address weaknesses before they become incidents.

As CloudZero continues to scale, we’re looking for a senior software engineer to join one of our core product development teams. This team is responsible for ensuring CloudZero remains the industry leader in ingesting, modeling, and operationalizing cloud cost data for our customers.

You’ll work on systems that bring in cost data from the “Big 3” cloud providers (AWS, GCP, Azure) as well as third-party SaaS and PaaS tools like Datadog, Databricks, New Relic, MongoDB, and Snowflake. The work directly impacts how customers understand and act on their cloud spend.

Our product teams are intentionally small and highly collaborative — typically five engineers partnered with a product manager, engineering manager, and product designer. In this role, you’ll act as a technical leader on the team, helping translate strategic goals into well-scoped work and guiding the team toward high-quality, scalable solutions.

What You’ll Do:
- Design, build, and maintain APIs, services, and backend systems that power CloudZero’s platform
- Build scalable features capable of handling large, complex customer datasets
- Write clean, readable, and testable code that is easy to maintain and extend
- Participate in product discovery to deeply understand customer problems and help shape the best technical solutions
- Break down complex initiatives into clear, actionable work for the team
- Mentor and lead by example, helping raise the technical bar across the team
- Collaborate closely with engineers, product managers, and designers to deliver meaningful customer value
- Contribute to improving engineering processes so teams can move quickly, iterate often, and maintain ownership and autonomy

What We’re Looking For:
- 5+ years of experience building APIs and complex backend systems in the cloud (AWS preferred)
- Strong proficiency in Python (our primary backend language)
- Experience working at early-stage or growth-stage SaaS startups
- Hands-on experience working with data at scale
- A solid understanding of design patterns, with the ability to apply them pragmatically
- Comfort working cross-functionally and synthesizing feedback into polished product experiences
- Strong communication skills; personable, inclusive, and collaborative working style
- Ability to work core hours aligned with Eastern Time (with flexibility outside of those hours)

Please note: CloudZero is unable to sponsor employment visas. Candidates must have permanent authorization to work in the United States without the need for current or future sponsorship.

Join CloudZero as a senior software engineer to develop scalable backend systems and APIs for cloud cost data management.

United States

As CloudZero continues to scale, we’re looking for a senior software engineer to join one of our core product development teams. This team is responsible for ensuring CloudZero remains the industry leader in ingesting, modeling, and operationalizing cloud cost data for our customers.

You’ll work on systems that bring in cost data from the “Big 3” cloud providers (AWS, GCP, Azure) as well as third-party SaaS and PaaS tools like Datadog, Databricks, New Relic, MongoDB, and Snowflake. The work directly impacts how customers understand and act on their cloud spend.

Our product teams are intentionally small and highly collaborative — typically five engineers partnered with a product manager, engineering manager, and product designer. In this role, you’ll act as a technical leader on the team, helping translate strategic goals into well-scoped work and guiding the team toward high-quality, scalable solutions.

What You’ll Do:
- Design, build, and maintain APIs, services, and backend systems that power CloudZero’s platform
- Build scalable features capable of handling large, complex customer datasets
- Write clean, readable, and testable code that is easy to maintain and extend
- Participate in product discovery to deeply understand customer problems and help shape the best technical solutions
- Break down complex initiatives into clear, actionable work for the team
- Mentor and lead by example, helping raise the technical bar across the team
- Collaborate closely with engineers, product managers, and designers to deliver meaningful customer value
- Contribute to improving engineering processes so teams can move quickly, iterate often, and maintain ownership and autonomy

What We’re Looking For:
- 5+ years of experience building APIs and complex backend systems in the cloud (AWS preferred)
- Strong proficiency in Python (our primary backend language)
- Experience working at early-stage or growth-stage SaaS startups
- Hands-on experience working with data at scale
- A solid understanding of design patterns, with the ability to apply them pragmatically
- Comfort working cross-functionally and synthesizing feedback into polished product experiences
- Strong communication skills; personable, inclusive, and collaborative working style
- Ability to work core hours aligned with Eastern Time (with flexibility outside of those hours)

Please note: CloudZero is unable to sponsor employment visas. Candidates must have permanent authorization to work in the United States without the need for current or future sponsorship.Benefits:<ul><li> Remote work opportunity</li><li> Collaborative and small team environment</li><li> Opportunity to work on industry-leading cloud cost data solutions</li><li> Potential for career growth and leadership in a fast-growing SaaS company</li></ul>

CloudCheckr

Senior Software Engineer Join CloudZero as a senior software engineer to develop scalable backend systems and APIs for cloud cost data management. As CloudZero continues to scale, we’re looking for a senior software engineer to join one of our core product development teams. This team is responsible for ensuring CloudZero remains the industry leader in ingesting, modeling, and operationalizing cloud cost data for our customers.

You’ll work on systems that bring in cost data from the “Big 3” cloud providers (AWS, GCP, Azure) as well as third-party SaaS and PaaS tools like Datadog, Databricks, New Relic, MongoDB, and Snowflake. The work directly impacts how customers understand and act on their cloud spend.

Our product teams are intentionally small and highly collaborative — typically five engineers partnered with a product manager, engineering manager, and product designer. In this role, you’ll act as a technical leader on the team, helping translate strategic goals into well-scoped work and guiding the team toward high-quality, scalable solutions.

What You’ll Do:
- Design, build, and maintain APIs, services, and backend systems that power CloudZero’s platform
- Build scalable features capable of handling large, complex customer datasets
- Write clean, readable, and testable code that is easy to maintain and extend
- Participate in product discovery to deeply understand customer problems and help shape the best technical solutions
- Break down complex initiatives into clear, actionable work for the team
- Mentor and lead by example, helping raise the technical bar across the team
- Collaborate closely with engineers, product managers, and designers to deliver meaningful customer value
- Contribute to improving engineering processes so teams can move quickly, iterate often, and maintain ownership and autonomy

What We’re Looking For:
- 5+ years of experience building APIs and complex backend systems in the cloud (AWS preferred)
- Strong proficiency in Python (our primary backend language)
- Experience working at early-stage or growth-stage SaaS startups
- Hands-on experience working with data at scale
- A solid understanding of design patterns, with the ability to apply them pragmatically
- Comfort working cross-functionally and synthesizing feedback into polished product experiences
- Strong communication skills; personable, inclusive, and collaborative working style
- Ability to work core hours aligned with Eastern Time (with flexibility outside of those hours)

Please note: CloudZero is unable to sponsor employment visas. Candidates must have permanent authorization to work in the United States without the need for current or future sponsorship. Senior Software Engineer Engineer CloudCheckr computer-software artificial-intelligence aws cloud-computing cloud-cost-management-software cloud-management deep-information-technology developer-tools devops enterprise-software enterprises information-technology machine-learning services site-reliability site-reliability-engineering software software-development software-engineering computer-science Boston Massachusetts

CloudZero is seeking a senior software engineer to work on core product development, focusing on cloud cost data ingestion and modeling. The role involves designing APIs, building scalable features, and leading technical initiatives.

Principal Engineer, Distributed Data Systems

We need someone passionate about data pipeline architecture at a massive scale. Not the kind that just handles millions of records, we’re talking about the best engineering organizations in the world throwing their AI workload cost and usage data at us… and our systems not breaking a sweat.

CloudZero processes billions of cost and usage events daily across AWS, Azure, GCP, and a fast-growing list of SaaS and AI providers. Our customers depend on real-time, accurate cost attribution to make big decisions. If our data pipeline hiccups, their financial planning halts. We’ve built something unique: a fully event-driven, serverless architecture that processes terabytes of cost data while maintaining sub-second query performance.

But here’s the thing—we’re scaling fast. The architecture that got us here won’t be the one that gets us where we’re going. We need someone who’s pushed traditional database architectures to the edge and lived to tell the tale. Someone who sees the elegance in what we’ve built—and the limits we’ll need to blow past.

What You’ll Do
You won’t just be maintaining systems—you’ll be reimagining how data at scale should work. The problems are hard, the expectations are high, and the opportunity to build something enduring is massive.

- Architect for hyper-scale: Design pipelines that can handle customers 5–10x larger than our biggest today, without architectural rewrites every 18 months.
- Push the boundaries of simplicity: Build for reliability by stripping complexity to its elegant core. Fewer moving parts. Clearer data flows. Predictable performance.
- Mentor and influence: Help level up engineers across the org. Share your scars from performance bottlenecks, architectural dead ends, and clever fixes that worked.
- Drive innovation across teams: Be the voice that challenges how we think about scale, reliability, and performance—not just for the data team, but for all of engineering.
- Translate complexity into clarity: Make technical tradeoffs legible to leadership. Your insights won’t just shape implementation, they’ll steer product and business strategy.

You Might Be a Good Fit If You…
- Have built systems that processed serious volumes, and hit the edge of what your tools could handle
- See code as a liability and simplicity as a superpower
- Can explain why a system chokes under scale to a CEO without losing the technical nuance
- Think deeply about what not to build, and what tradeoffs you’re making when you do
- Experiment with emerging technologies not because they’re shiny, but because you’re curious about what’s next
- Treat architectural constraints as interesting puzzles, not roadblocks

Seeking a Principal Engineer to design and scale data pipelines handling massive volumes at CloudZero.

We need someone passionate about data pipeline architecture at a massive scale. Not the kind that just handles millions of records, we’re talking about the best engineering organizations in the world throwing their AI workload cost and usage data at us… and our systems not breaking a sweat.

CloudZero processes billions of cost and usage events daily across AWS, Azure, GCP, and a fast-growing list of SaaS and AI providers. Our customers depend on real-time, accurate cost attribution to make big decisions. If our data pipeline hiccups, their financial planning halts. We’ve built something unique: a fully event-driven, serverless architecture that processes terabytes of cost data while maintaining sub-second query performance.

But here’s the thing—we’re scaling fast. The architecture that got us here won’t be the one that gets us where we’re going. We need someone who’s pushed traditional database architectures to the edge and lived to tell the tale. Someone who sees the elegance in what we’ve built—and the limits we’ll need to blow past.

What You’ll Do
You won’t just be maintaining systems—you’ll be reimagining how data at scale should work. The problems are hard, the expectations are high, and the opportunity to build something enduring is massive.

- Architect for hyper-scale: Design pipelines that can handle customers 5–10x larger than our biggest today, without architectural rewrites every 18 months.
- Push the boundaries of simplicity: Build for reliability by stripping complexity to its elegant core. Fewer moving parts. Clearer data flows. Predictable performance.
- Mentor and influence: Help level up engineers across the org. Share your scars from performance bottlenecks, architectural dead ends, and clever fixes that worked.
- Drive innovation across teams: Be the voice that challenges how we think about scale, reliability, and performance—not just for the data team, but for all of engineering.
- Translate complexity into clarity: Make technical tradeoffs legible to leadership. Your insights won’t just shape implementation, they’ll steer product and business strategy.

You Might Be a Good Fit If You…
- Have built systems that processed serious volumes, and hit the edge of what your tools could handle
- See code as a liability and simplicity as a superpower
- Can explain why a system chokes under scale to a CEO without losing the technical nuance
- Think deeply about what not to build, and what tradeoffs you’re making when you do
- Experiment with emerging technologies not because they’re shiny, but because you’re curious about what’s next
- Treat architectural constraints as interesting puzzles, not roadblocksRequirements:<ul><li> 15+ years of experience building and scaling complex data systems</li><li> Experience at early- or growth-stage SaaS companies</li><li> Deep experience with large-scale data pipelines and distributed systems</li><li> Strong grasp of system design patterns and real-world tradeoffs</li><li> Collaborative and clear communicator, across both technical and non-technical teams</li></ul>Benefits:<ul><li> Competitive salary in the range of $200,000 - $250,000 per year</li><li> Remote work / telecommute</li><li> Opportunity to work on large-scale, impactful data systems</li><li> Mentorship and influence across engineering teams</li><li> Innovative and fast-growing SaaS environment</li></ul>

Principal Engineer, Distributed Data Systems Seeking a Principal Engineer to design and scale data pipelines handling massive volumes at CloudZero. We need someone passionate about data pipeline architecture at a massive scale. Not the kind that just handles millions of records, we’re talking about the best engineering organizations in the world throwing their AI workload cost and usage data at us… and our systems not breaking a sweat.

CloudZero processes billions of cost and usage events daily across AWS, Azure, GCP, and a fast-growing list of SaaS and AI providers. Our customers depend on real-time, accurate cost attribution to make big decisions. If our data pipeline hiccups, their financial planning halts. We’ve built something unique: a fully event-driven, serverless architecture that processes terabytes of cost data while maintaining sub-second query performance.

But here’s the thing—we’re scaling fast. The architecture that got us here won’t be the one that gets us where we’re going. We need someone who’s pushed traditional database architectures to the edge and lived to tell the tale. Someone who sees the elegance in what we’ve built—and the limits we’ll need to blow past.

What You’ll Do
You won’t just be maintaining systems—you’ll be reimagining how data at scale should work. The problems are hard, the expectations are high, and the opportunity to build something enduring is massive.

- Architect for hyper-scale: Design pipelines that can handle customers 5–10x larger than our biggest today, without architectural rewrites every 18 months.
- Push the boundaries of simplicity: Build for reliability by stripping complexity to its elegant core. Fewer moving parts. Clearer data flows. Predictable performance.
- Mentor and influence: Help level up engineers across the org. Share your scars from performance bottlenecks, architectural dead ends, and clever fixes that worked.
- Drive innovation across teams: Be the voice that challenges how we think about scale, reliability, and performance—not just for the data team, but for all of engineering.
- Translate complexity into clarity: Make technical tradeoffs legible to leadership. Your insights won’t just shape implementation, they’ll steer product and business strategy.

You Might Be a Good Fit If You…
- Have built systems that processed serious volumes, and hit the edge of what your tools could handle
- See code as a liability and simplicity as a superpower
- Can explain why a system chokes under scale to a CEO without losing the technical nuance
- Think deeply about what not to build, and what tradeoffs you’re making when you do
- Experiment with emerging technologies not because they’re shiny, but because you’re curious about what’s next
- Treat architectural constraints as interesting puzzles, not roadblocks Principal Engineer, Distributed Data Systems Engineer CloudCheckr computer-software artificial-intelligence aws cloud-computing cloud-cost-management-software cloud-management deep-information-technology developer-tools devops enterprise-software enterprises information-technology machine-learning services site-reliability site-reliability-engineering software software-development software-engineering computer-science

This role involves reimagining data systems for high scalability and reliability, mentoring engineers, and driving innovation in data architecture. The candidate will work on complex, large-scale data pipelines in a fast-growing SaaS environment.

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