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Senior Distributed Systems Engineer Jobs in Florida

Lennar Homes

Sr Systems Engineer

Miami, FL · On-site

$99K - $136K/yr

Senior Systems Engineer - Collaboration We are Lennar  Lennar is one of the nation's leading ... distributed endpoints (Windows, macOS, iOS, Android, and other devices). This role combines ...

Lennar

Sr Systems Engineer

Miami, FL · Hybrid

$99K - $136K/yr

Senior Systems Engineer - Collaboration We are Lennar Lennar is one of the nation's leading ... distributed endpoints (Windows, macOS, iOS, Android, and other devices). This role combines ...

Lennar

Sr Systems Engineer

Miami, FL · On-site

$99K - $136K/yr

Senior Systems Engineer - Collaboration We are Lennar Lennar is one of the nation's leading ... distributed endpoints (Windows, macOS, iOS, Android, and other devices). This role combines ...

JTEC Consulting

VDI Systems Engineer - Senior

Doral, FL

$140K - $160K/yr

VDI Systems Engineer - Senior Doral, FL 33172 ​ JTEC Consulting LLC focuses on successfully ... distributed environments. * Gold Image Management: Execute monthly patch cycles, application ...

ECS

Senior Systems Engineer

Orlando, FL · On-site

$120K - $130K/yr

Senior Systems Engineer would provide technical leadership for virtual training systems, with a focus on transitioning logistics trainers into the Synthetic Training Environment (STE). This role ...

Starfish

Senior Systems Engineer

Eglin, FL

$95K - $130K/yr

As a Senior Systems Engineer, your duties will include the following, but are not limited to: * Responsible for technical/operational leadership of a project/mission or group of projects ...

ICI Services

Senior Systems Engineer

Panama City, FL

$93K - $127K/yr

ICI Services-a 100% employee-owned company proudly celebrating 26 years of excellence-is seeking Senior Systems Engineer to support our Landing Craft Air Cushion (LCAC) Command, Control ...

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Senior Distributed Systems Engineer information

See Florida salary details

$41.8K

$93.2K

$131.5K

How much do senior distributed systems engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for senior distributed systems engineer in Florida is $93,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $106,900.00 per year, depending on experience, location, and employer.

What is the difference between Senior Distributed Systems Engineer vs Cloud Solutions Architect?

AspectSenior Distributed Systems EngineerCloud Solutions Architect
CredentialsBachelor's/Master's in CS or related, experience with distributed systemsBachelor's/Master's in CS, IT, or related, cloud certifications (AWS, Azure)
Work EnvironmentDesigning, developing, and maintaining distributed systems in tech companiesDesigning cloud infrastructure solutions for clients or internal teams
Industry UsageTech, finance, e-commerce, and enterprise sectorsIT consulting, cloud service providers, enterprise IT departments

The Senior Distributed Systems Engineer focuses on building and optimizing distributed computing systems, while the Cloud Solutions Architect designs cloud infrastructure solutions. Both roles require technical expertise and often overlap in cloud environments, but their primary responsibilities differ in scope and focus.

What engineer makes $500,000 a year?

Senior Distributed Systems Engineers can earn $500,000 or more annually, especially with extensive experience, specialized skills in cloud infrastructure, and leadership roles. Compensation often includes base salary, bonuses, and stock options in large tech companies or startups with high growth potential.

What are the key skills and qualifications needed to thrive as a Senior Distributed Systems Engineer, and why are they important?

A Senior Distributed Systems Engineer requires deep expertise in computer science fundamentals, scalable system architecture, and proficiency in programming languages such as Java, Go, or Python, often supported by a relevant degree and significant experience in distributed systems. Familiarity with tools like Kubernetes, Docker, Kafka, and cloud platforms (AWS, GCP, or Azure) is typically expected, along with knowledge of monitoring and CI/CD pipelines. Strong problem-solving, communication, and leadership skills help in tackling complex engineering challenges and collaborating across teams. These skills are crucial for designing robust, scalable, and reliable systems that support organizational growth and high availability.

What engineers make $200,000 a year?

Senior distributed systems engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud computing, and expertise in scalable architecture. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.

What are some common challenges Senior Distributed Systems Engineers face when designing scalable systems?

Senior Distributed Systems Engineers often encounter challenges such as managing data consistency, ensuring fault tolerance, and minimizing latency across multiple nodes. Balancing trade-offs between availability and partition tolerance (as outlined by the CAP theorem) is a frequent consideration. Additionally, coordinating between development and operations teams to maintain system reliability and efficiently resolve issues that arise in production environments is crucial. Strong communication skills and a deep understanding of distributed architectures help address these complexities effectively.

What are Senior Distributed Systems Engineers?

Senior Distributed Systems Engineers are experienced professionals who design, build, and maintain large-scale computing systems that run across multiple machines or locations. They focus on ensuring reliability, scalability, and performance of distributed applications, often dealing with challenges like data consistency, fault tolerance, and network latency. These engineers typically have deep expertise in distributed computing principles, programming languages, and cloud infrastructure. They also mentor junior team members and help architect robust solutions for complex technical problems.

What engineers make $300,000 a year?

Senior distributed systems engineers, software engineers in specialized fields like cloud infrastructure, and senior engineers with extensive experience and advanced skills can earn $300,000 or more annually. High compensation often depends on expertise in areas such as distributed architecture, performance optimization, and familiarity with tools like Kubernetes and cloud platforms, along with relevant certifications and a strong track record of project delivery.

Is L5 at Google Senior?

L5 at Google typically corresponds to a senior-level engineering role, often called Software Engineer II or equivalent, with significant experience and technical expertise. It is considered a mid-to-senior level position, with responsibilities including project leadership and mentorship. Advancement to higher levels generally requires demonstrated impact and leadership in projects.
What are the most commonly searched types of Distributed Systems Engineer jobs in Florida? The most popular types of Distributed Systems Engineer jobs in Florida are:
What are popular job titles related to Senior Distributed Systems Engineer jobs in Florida? For Senior Distributed Systems Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Senior Distributed Systems Engineer jobs in Florida look for? The top searched job categories for Senior Distributed Systems Engineer jobs in Florida are:
What cities in Florida are hiring for Senior Distributed Systems Engineer jobs? Cities in Florida with the most Senior Distributed Systems Engineer job openings:
Senior Distributed Systems Engineer jobs near you

Software Engineer, Distributed Systems (Core)

Career Renew

Miami, FL • Remote

$180K - $320K/yr

Full-time

Re-posted 8 days ago

Job description

Career Renew is recruiting for one of its clients a Software Engineer, Distributed Systems (Core) - this is a fully remote role for US/Canada candidates. Salary range: 180-320K USD yearly plus benefits plus equity. Visa sponsorship available.

Our mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust us to power their growth.


We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further, allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With us, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.

We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.


We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.


Some of the problems we’ll be working on include:

  • Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly

  • Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues

  • Scalability and Reliability: As part of our rapid growth, we’re always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth

  • Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with <30ms p90 response times with QPS in the millions

  • Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch our platform in new regions to support data residency requirements of our global customer base

Requirements:
7+ years of experience as a software engineer with a very high level of general aptitude and work in distributed systems (Mandatory)
Have been part of high velocity startup through high stages of growth, Series B - Series E (i.e Stripe, Kong, Semgrep) (Mandatory)
Staff level minimum with a history of getting promoted quickly at the listed companies. (Mandatory)
Have graduated from a top 30 CS program such as: University of Waterloo, Harvard, Columbia, Princeton, Stanford, UC Berkeley, MIT, CMU, CalTech, Cornell, Duke, Dartmouth, Brown, IITs (Mandatory)
Extremely strong in systems design fundamentals and understanding of how large scale distributed systems behave (Mandatory)
You’ve created event collection or data streaming services that power company critical systems ( work with message queues, Kafka, SQL databases, Kubernetes, Docker) (Mandatory)
You’ve owned systems that have undergone orders of magnitude of growth and helped them scale accordingly (Mandatory)
You’ve built data sync engines that process and move terabytes of data per day in a scalable way (Nice-to-have)
Work close to the infrastructure layer of code, someone who knows how even the tools (i.e. spark, flink, kafka) are built (Nice-to-have)
Extremely strong communication skills, and are a fast learner who is excited to take on the challenges we face (Mandatory)