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Temporal Software Engineer Jobs in Detroit, MI (NOW HIRING)

Socket.dev

Staff Software Engineer

Detroit, MI · On-site

$250/hr

Primary Function of Position As a Staff Software Engineer reporting to the Managing Staff Software ... system, ensuring spatial and temporal isolation between safety‑critical and ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Arene, our software development platform for software-defined vehicles; Woven City, a test course ... Experience with temporal data and/or sequential modeling * Experience with code quality and systems ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Arene, our software development platform for software-defined vehicles; Woven City, a test course ... Experience with temporal data and/or sequential modeling * Experience with code quality and systems ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Arene, our software development platform for software-defined vehicles; Woven City, a test course ... Experience with temporal data and/or sequential modeling * Experience with code quality and systems ...

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All JobsTemporal Software Engineer JobsTemporal Software Engineer Jobs in Detroit, MI

Temporal Software Engineer information

See Detroit, MI salary details

$62.9K

$146K

$203.4K

How much do temporal software engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for temporal software engineer in Detroit, MI is $146,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $171,300.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

How much does a Temporal Software Engineer make?

A Temporal Software Engineer's salary typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Skilled engineers with expertise in distributed systems and workflow orchestration tools like Temporal are often compensated at the higher end of this range.

What are popular job titles related to Temporal Software Engineer jobs in Detroit, MI?

For Temporal Software Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Temporal Software Engineer jobs in Detroit, MI look for?

The top searched job categories for Temporal Software Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Temporal Software Engineer jobs?

Cities near Detroit, MI with the most Temporal Software Engineer job openings:

Temporal Software Engineer jobs near you
Infographic showing various Temporal Software Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $146,043 per year, or $70.2 per hour.

Senior, Software Engineer - Platform Engineering

Socket.dev

Ann Arbor, MI • On-site

$150 - $200/hr

Other

Posted 13 days ago

Job description

About the Role

We are seeking a Senior Software Engineer to join our Platform Engineering team. You will build and evolve the internal platforms and services that empower engineers across the company to automate and accelerate software development, testing, and validation for autonomous vehicles worldwide.

Responsibilities
  • Design and construct platform infrastructure spanning build, test, deployment, and release workflows across software and hardware environments.
  • Periodic on‑call shifts during business hours focused on incident response and operational support for team‑owned services.
  • Provide support and troubleshooting to internal customers.
  • Maintain and evolve an internal, multimodal test execution platform across target hardware and simulation, with integration into requirements tracking systems.
  • Develop and operate shared platform services, including workflow orchestration, observability, remote development environments, and authentication infrastructure.
  • Drive engineering quality through reference implementations, best practices, and continuous improvement of platform reliability and scalability.
  • Mentor engineers and elevate technical standards across design, implementation, and operations.
Competencies
  • Strong software architecture and system design skills, with the ability to translate ambiguous requirements into scalable technical solutions.
  • Strong proficiency with Python or another modern object‑oriented programming language.
  • Experience with infrastructure-as-code tools such as Terraform, CloudFormation, Pulumi, etc.
  • Experience building intuitive, extensible, well‑documented APIs.
  • Strong understanding of CI/CD concepts, tooling, and engineering workflows.
  • Experience managing technical infrastructure across cloud‑based and bare‑metal environments.
  • Experience with observability, telemetry, and monitoring platforms such as Datadog.
  • Experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Strong troubleshooting skills, including real‑time debugging and deep log‑based analysis.
  • Experience with performance analysis, operational metrics, and system reliability practices.
Qualifications
  • Bachelor’s or Master’s Degree in Computer Engineering, Computer Science, or a related technical field.
  • 6 or more years of relevant industry experience.
Nice to Have
  • Experience with hardware‑in‑the‑loop test automation for embedded, robotics, or vehicle platforms.
  • Experience with workflow orchestration engines such as Temporal, AWS Step Functions, Airflow, or similar technologies.
  • Experience building or supporting developer productivity platforms such as remote development environments or virtual desktop infrastructure.

Hiring Range for Job Opening

US Pay Range

$160,800 — $193,000 USD

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