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Flex Schedule Google Software Engineer Jobs in Florida

Senior Software Engineer

Tampa, FL · On-site +1

$115K - $152K/yr

SENIOR SOFTWARE ENGINEER Overview We're looking for a Senior Software Engineer who can operate ... Experience with cloud platforms - AWS, Azure or Google Cloud Platform (GCP) - including core ...

The Full Stack Software Engineer will leverage their strong technical background and knowledge to ... Experience deploying and managing applications on cloud platforms such as AWS, Azure, or Google ...

Software Engineer

Miami, FL · On-site

$91K - $130K/yr

The Software Engineer is responsible for application development and coding, unit testing, system ... Engages with key stakeholders to ensure requirements, schedules and all expectations are understood ...

Software Engineer

Miami, FL · On-site

$91K - $130K/yr

The Software Engineer is responsible for application development and coding, unit testing, system ... Engages with key stakeholders to ensure requirements, schedules and all expectations are understood ...

Lead Software Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated ... Exposure to additional cloud platforms (AWS, Azure, Google Cloud) Physical & Office/Site Presence ...

Sr Software Engineer

Miami, FL

$117K - $154K/yr

Sr Software Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to ... Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization tools (e.g ...

Lead Software Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated ... Exposure to additional cloud platforms (AWS, Azure, Google Cloud) Physical & Office/Site Presence ...

Lead, Cloud Software Engineer

Melbourne, FL

$55.50 - $72.25/hr

Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked ... Azure, Google Cloud) in delivering solutions to improve customer operations and to provide ...

Software Engineer

Tampa, FL · On-site

$125 - $150/hr

Full Stack Software Engineer -- SuperSonic POS (Tampa, FL | Hybrid) About SuperSonic POS SuperSonic ... Flexible work hours with a hybrid schedule * Strong ownership, visibility, and impact in a growing ...

Showing results 21-40

Flex Schedule Google Software Engineer information

Do Flex Schedule Google Software Engineers have a flexible schedule?

Google Software Engineers with flexible schedules, including those working in roles with flexible hours, often have the ability to choose their work hours within certain guidelines. The specific flexibility depends on team needs and project requirements, but many software engineering roles at Google support remote work and flexible timing options.

What cities in Florida are hiring for Flex Schedule Google Software Engineer jobs?

Cities in Florida with the most Flex Schedule Google Software Engineer job openings:

Senior Software Engineer

Bond-Pro Inc

Tampa, FL • On-site, Remote

$115K - $152K/yr

Full-time

Posted 15 days ago


Job description

SENIOR SOFTWARE ENGINEER


Overview

We're looking for a Senior Software Engineer who can operate independently within an Agile team, take ambiguous requirements from concept to production, and bring architectural judgment to how we structure and process data at scale. This is not a developer from a particular tech stack, but rather a true software engineer who can and will work with any number of languages without restriction.

We are only accepting candidates currently residing in the state of Florida, Georgia or Texas at this time.


Responsibilities

  • Work within a Scrum/Agile team through the full sprint cycle - backlog refinement, sprint planning, capacity estimation, daily standups, sprint review, and retrospectives.
  • Participate in requirement refinement sessions with product owners and stakeholders, turning ambiguous asks into well-scoped, estimable stories.
  • Apply modern software design patterns and enforce separation of concerns across the codebase, ensuring components remain loosely coupled and independently testable.
  • Design and build proofs of concept (POCs) to validate new approaches before committing to full implementation.
  • Integrate AI/ML and/or NLP components into production systems.
  • Design and implement systems that handle structured (CSV, relational), semi-structured (JSON), unstructured, and schema-bound formats like Avro, including the tradeoffs between them for storage, processing and schema evolution.
  • Contribute to big data architecture and design patterns - batch and/or streaming pipelines, data partitioning, and scalable processing approaches.
  • Collaborate with UI/UX on interface design decisions, ensuring frontend implementation aligns with usability and design intent.
  • Mentor junior developers through code review, pairing, and design discussions.

Required Qualifications

  • Proven experience working in Scrum/Agile teams, including sprint planning, capacity estimation, and iterative delivery.
  • Strong grasp of modern design patterns (e.g., strategy, factory, repository, observer) and the "separation of concerns" principle - able to explain not just what it is, but why it matters for maintainability and testability.
  • Experience with UI/UX collaboration and requirement refinement.
  • Hands-on experience with structured, semi-structured, unstructured, and schema-based data formats (CSV, JSON, Avro).
  • Big data technology experience (e.g., Spark, Kafka, Hadoop ecosystem or equivalent) and associated design patterns.
  • Demonstrated experience building and validating POCs.
  • Experience designing and building microservices architectures - service decomposition, inter-service communication (REST/gRPC/event-driven messaging), API contracts and independent deployability.
  • Strong understanding of data layer and persistence design patterns - repository pattern, unit of work, CQRS, data access layer abstraction, ORM vs. raw query tradeoffs, caching strategies and both relational (SQL) and NoSQL database design.
  • Experience with cloud platforms - AWS, Azure or Google Cloud Platform (GCP) - including core compute, storage, and managed data services on at least one major provider.
  • Experience with Machine Learning, NLP or AI - applied experience integrating AI/ML components into production systems.

Desirable

  • Proficiency in one or more modern languages beyond your primary stack - Python, Scala, Go, Java, Kotlin, Rust, TypeScript/Node.js or C# - with the versatility to pick up new languages as project needs evolve.
  • Multi-cloud exposure across AWS, Azure, and GCP, and familiarity with cloud-native patterns (containers, Kubernetes, serverless, managed data/streaming services).
Employment Type: FULL_TIME