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Temporal Software Engineer Jobs in Florida (NOW HIRING)

As a Lead Software Engineer with strong back-end expertise, you'll start your day aligning with ... Java, Spring Boot, Micronaut, Temporal, ActiveMQ, PostgreSQL, Redis, Kubernetes, AWS, Jenkins, Git ...

As a Lead Software Engineer with strong back-end expertise, you'll start your day aligning with ... Java, Spring Boot, Micronaut, Temporal, ActiveMQ, PostgreSQL, Redis, Kubernetes, AWS, Jenkins, Git ...

As a Senior Software Engineer, your day will be filled with exciting challenges and opportunities ... Java, Springboot, Micronaut, Temporal, ActiveMQ, Postgres, Redis, ReactJs, Kubernetes, AWS, Jenkins ...

As a Senior Software Engineer, your day will be filled with exciting challenges and opportunities ... Java, Springboot, Micronaut, Temporal, ActiveMQ, Postgres, Redis, ReactJs, Kubernetes, AWS, Jenkins ...

The right person for this role is not a back-office software engineer and not a solutions ... Workflow orchestration platforms (Inngest, Temporal, or comparable). * Consulting, agency, or ...

The right person for this role is not a back-office software engineer and not a solutions ... Workflow orchestration platforms (Inngest, Temporal, or comparable). * Consulting, agency, or ...

Forward Deployed Engineer

Tampa, FL · On-site

$125K - $160K/yr

The right person for this role is not a back-office software engineer and not a solutions ... Workflow orchestration platforms (Inngest, Temporal, or comparable). * Consulting, agency, or ...

Forward Deployed Engineer

Tampa, FL · On-site

$125K - $160K/yr

The right person for this role is not a back-office software engineer and not a solutions ... Workflow orchestration platforms (Inngest, Temporal, or comparable). * Consulting, agency, or ...

Sr Java Backend - Miami

Miami, FL

$115K - $149K/yr

We are looking for a Senior Java Microservices Developer for a contract engagement. You will own ... software that scales. What To Expect In This Role (Responsibilities) * Backend Architecture ...

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Showing results 1-20

Temporal Software Engineer information

What is temporal in swe?

In software engineering, 'temporal' refers to systems or tools that manage time-based data, workflows, or events. For a Temporal Software Engineer, this often involves working with the Temporal workflow orchestration platform, which enables reliable execution of distributed, stateful applications with features like fault tolerance and scalability.

What is the difference between Temporal Software Engineer vs Cloud Software Engineer?

AspectTemporal Software EngineerCloud Software Engineer
Required CredentialsBachelor's in CS or related, experience with Temporal SDKsBachelor's in CS or related, cloud platform certifications (AWS, Azure)
Work EnvironmentDeveloping distributed, event-driven applications using TemporalDesigning and deploying cloud-based solutions across platforms
Industry UsageTech companies implementing workflow orchestrationBroad industry use, including SaaS, enterprise, and startups
Search & Comparison IntentFocus on Temporal-specific skills and workflowsBroader cloud infrastructure and deployment skills

In summary, a Temporal Software Engineer specializes in building and maintaining workflow orchestration using Temporal, while a Cloud Software Engineer works on deploying and managing cloud-based applications across various platforms. Both roles require strong programming skills, but their focus areas differ significantly.

What is the highest paying software engineering job?

Senior software engineering roles, especially those involving specialized skills like machine learning, cloud architecture, or cybersecurity, tend to have the highest salaries. Positions such as Staff Software Engineer, Principal Engineer, or Engineering Manager often command top compensation, particularly in large tech companies or with extensive experience and advanced certifications.

What is a Temporal Software Engineer?

A Temporal Software Engineer is a developer who specializes in building, maintaining, and optimizing applications using the Temporal open-source workflow orchestration platform. Temporal enables engineers to manage complex, long-running, and distributed workflows in a reliable and scalable way. Temporal Software Engineers typically design workflows, implement fault-tolerant logic, and help teams automate business processes that require reliability and durability. Their expertise ensures that workflows can recover from failures, maintain state, and handle retries without losing data or process integrity.

Is Temporal Technologies a good company to work for?

Temporal Software Engineers work for a company known for its open-source workflow orchestration platform used in scalable, distributed systems. The company emphasizes a collaborative environment, technical innovation, and remote work flexibility, which are common in tech industry standards. Employee reviews highlight opportunities for growth and involvement in cutting-edge projects.

What are some common challenges faced by Temporal Software Engineers when designing workflows, and how can they be addressed?

Temporal Software Engineers often encounter challenges such as managing complex workflow dependencies, handling failure recovery, and ensuring workflow scalability. These challenges can be addressed by leveraging Temporal’s robust retry mechanisms, designing idempotent activities, and breaking workflows into smaller, reusable components. Collaboration with DevOps and QA teams is also crucial to ensure workflows are resilient and thoroughly tested in distributed environments.

Can I make 200k a year as a software engineer?

As a Temporal Software Engineer, earning $200,000 annually is possible with extensive experience, specialized skills in distributed systems, and working in high-paying markets or companies. Salaries vary based on location, company size, and individual expertise, with senior roles and those in competitive tech hubs often reaching or exceeding this level. Certifications and proficiency in relevant tools can also influence earning potential.

What are the key skills and qualifications needed to thrive as a Temporal Software Engineer, and why are they important?

To thrive as a Temporal Software Engineer, you need strong software engineering fundamentals, proficiency in distributed systems concepts, and experience with languages like Go, Java, or TypeScript. Familiarity with Temporal's workflow orchestration platform, cloud infrastructure tools, and CI/CD systems is typically expected. Excellent problem-solving, collaboration, and communication skills help in designing resilient workflows and working with cross-functional teams. These skills are crucial for building reliable, scalable solutions that leverage Temporal for complex business processes.
What are popular job titles related to Temporal Software Engineer jobs in Florida? For Temporal Software Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Temporal Software Engineer jobs in Florida look for? The top searched job categories for Temporal Software Engineer jobs in Florida are:
What cities in Florida are hiring for Temporal Software Engineer jobs? Cities in Florida with the most Temporal Software Engineer job openings:
Senior Software Engineer, AI Platform

Senior Software Engineer, AI Platform

Fortress Information Security

Orlando, FL • On-site, Remote

$140K - $223K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Senior Software Engineer - AI Platform
Location: Remote
Salary Range: $140,541- $223,212, per year, depending on experience and qualifications.
Employment Type: Full-time
What you can expect as a Senior Software Engineer - AI Platform at Fortress:
Fortress Information Security is seeking a Senior Software Engineer, AI Platform to help build the foundational AI platform powering intelligent workflows across Fortress products and services. This role focuses on designing and operating the orchestration, retrieval, execution, and platform infrastructure required to support scalable, secure, and reliable AI systems in highly regulated environments.
The ideal candidate brings strong distributed systems and backend engineering experience combined with hands-on experience building production-grade AI infrastructure, orchestration systems, or retrieval platforms. This individual will work across platform, infrastructure, and application layers to help establish the technical foundation for Fortress's AI strategy.
This role is well-suited for engineers who enjoy solving complex systems problems involving long-running stateful workflows, multi-store retrieval architectures, event-driven systems, observability, and secure multi-tenant infrastructure. Please note: This role is built for a true, current senior engineer. Someone who hits the ground running, drives decisions independently, and raises the bar for the team from day one.
Responsibilities Include:
  • Design, build, and operate orchestration frameworks supporting long-running, stateful AI workflows and agent execution systems
  • Develop distributed retrieval architectures spanning vector, graph, search, and relational data platforms
  • Build shared platform services, reusable runtime components, and tool registries supporting AI capabilities across Fortress products
  • Implement resilient event-driven and change-data-capture (CDC) pipelines with strong consistency, retry, and fault-tolerance guarantees
  • Develop typed APIs and integration contracts supporting AI workflows and platform interoperability
  • Improve scalability, performance, reliability, and operational efficiency across orchestration and retrieval infrastructure
  • Support secure multi-tenant deployments across cloud, hybrid-cloud, and air-gapped environments
  • Build and maintain observability, telemetry, tracing, centralized logging, governance, and policy enforcement tooling
  • Contribute to engineering standards and architectural patterns for orchestration, retrieval, and platform infrastructure
  • Collaborate cross-functionally with platform engineering, product engineering, security, and AI teams to support platform adoption and operational excellence
  • Participate in troubleshooting, incident response, root cause analysis, and operational support activities related to platform infrastructure
  • Continuously evaluate emerging technologies, tooling, and engineering practices relevant to AI infrastructure and distributed systems

Minimum Qualifications:
  • 6+ years of experience in backend, platform, or infrastructure engineering building production distributed systems
  • Strong Python development experience including asynchronous systems, API design, and typed architectures
  • Experience designing and operating scalable distributed or service-oriented systems in production environments
  • Hands-on experience building or operating AI infrastructure, orchestration systems, retrieval platforms, or modern RAG architectures in production
  • Strong understanding of distributed systems concepts including queues, event streams, retries, consistency models, concurrency, and fault tolerance
  • Active daily use and fluency with AI-assisted engineering workflows and agentic development tooling such as Claude Code, Cursor, or similar platforms, including effective use of LLMs throughout software design, implementation, debugging, and operational workflows.
  • Strong written and verbal communication skills with the ability to collaborate effectively across technical teams
  • Ability to operate independently in fast-moving, highly technical environments with evolving priorities

Preferred Qualifications:
  • Experience with orchestration and workflow frameworks such as LangGraph, Temporal, Celery, or similar technologies
  • Experience with vector databases, graph databases, search platforms, and modern retrieval architectures involving embeddings, hybrid search, reranking, or knowledge graph traversal
  • Experience with event-driven architectures, CDC pipelines, or streaming platforms such as Kafka, Pulsar, or pg-boss
  • Experience with observability and telemetry tooling such as OpenTelemetry, Prometheus, Grafana, or centralized logging platforms
  • Experience deploying and operating systems within regulated, high-security, hybrid-cloud, or air-gapped environments
  • Familiarity with secure software supply chain practices, signed artifact distribution, and multi-tenant platform isolation strategies
  • Contributions to internal developer platforms, reusable infrastructure tooling, or shared engineering frameworks
  • Experience mentoring engineers and contributing to engineering standards and architectural best practices

Education:
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field preferred. Equivalent combinations of professional experience, technical training, certifications, or demonstrated expertise will also be considered.

Who thrives in this Role:
This team moves fast, operates with high autonomy, and builds things that don't exist yet. Engineers who do well here are genuinely deep in AI infrastructure, treat AI-assisted development as a core skill they're actively improving, and prefer building over debating. They own their outcomes without being pushed and find constrained, regulated environments interesting rather than frustrating.
If you've been building in this space on your own time and want to work somewhere that takes it seriously, this role is for you.
This role is not for you if...
  • You're drawn to AI but haven't actually built anything in the space.
  • You treat AI development tools as a novelty rather than a daily practice.
  • You do your best work with clear roadmaps, stable requirements, and plenty of process.
  • You want to architect and delegate rather than write the code yourself.
  • You need direction to get moving.

Employee Benefits:
  • Remote and Hybrid working environment
  • Competitive pay structure
  • Medical, dental, vision plans with employees covered up to 90% with highly progressive options for dependents and families
  • Company paid life, short- and long-term disability insurance
  • Employee Assistance Program
  • 401(k) match
  • Flexible Paid Time Off
  • Parental Leave
  • Access to thousands of Learning & Development courses that range from mental health and wellbeing, stress, and time management to an array of technical and business-related courses

Employment Perks:
  • We provide each employee with professional growth opportunities through succession planning, up-skilling, and certifications
  • Tuition and certification reimbursement
  • Employee Referral Programs
  • Company Sponsored Events

Fortress is proud to be an Equal Opportunity Employer. All employees and applicants will receive consideration for employment without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. Fortress Information Security takes part in the E-Verify process for all new hires.
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will have to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Pay Range: $140,541 - $223,212 per year