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Temporal Software Engineer Jobs in Massachusetts

jobr.pro

Senior Software Engineer, App

Cambridge, MA · On-site

$144 - $240/hr

We're hiring Sr Principal / Principal Software Engineers to design the agents, interfaces, and ... Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster). * Familiarity with ...

Lila Sciences

Senior Software Engineer, App

Cambridge, MA · On-site

$133K - $176K/yr

We're hiring Sr Principal / Principal Software Engineers to design the agents, interfaces, and ... Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster). * Familiarity with ...

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Temporal Software Engineer information

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 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 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 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 Massachusetts?

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

What job categories do people searching Temporal Software Engineer jobs in Massachusetts look for?

The top searched job categories for Temporal Software Engineer jobs in Massachusetts are:

Temporal Software Engineer jobs near you

Senior Software Engineer, Autonomous Lab (Scheduling & Optimization)

Ginkgo Bioworks Inc.

Boston, MA • On-site

$134K - $189K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Job description

Our mission is to make biology easier to engineer. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe's growing challenges in health, energy, food, materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms.
Senior Software Engineer, Autonomous Lab (Scheduling & Optimization)
About the Role
We are seeking a Senior Software Engineer with deep expertise in scheduling and operations research to join the Autonomous Lab software organization at Ginkgo Bioworks. This position is specific to the Orchestrator team. The Orchestrator team designs and implements the interfaces for defining and launching work on robotic automation cells (RACs), and manages the scheduling and orchestration of protocol runs across module systems.
The ideal candidate is an experienced software engineer who has built and shipped production scheduling systems, with a working command of operations research, optimization, and constraint programming. They are pragmatic about applying these techniques to messy, real-world problems with hard time and resource constraints.
To learn more about automation engineering at Ginkgo, take a look at our website.
All positions require the candidate to work on-site Monday - Friday in our Boston office. Ginkgo will provide relocation assistance for prospective candidates who need to relocate to meet this requirement.
Applicants must be currently authorized to work in the United States on a full-time basis. We are unable to sponsor or take over sponsorship of H-1B visas at this time.
Responsibilities
Scheduler & Optimization Development
  • Design, implement, and evolve the scheduling algorithms that orchestrate work across robotic lab automation cells.
  • Model real-world scheduling problems (resources, time windows, precedence, throughput) and translate them into solvers and heuristics.
  • Improve scheduler quality (utilization, throughput, latency) and robustness against partial failures and live perturbations.
  • Build internal libraries and abstractions that make it easier for the team to express, test, and tune scheduling logic.

Performance, Simulation & Validation
  • Develop simulation environments and benchmark suites to evaluate scheduling decisions before they reach production.
  • Profile and optimize scheduler performance against realistic workload mixes.
  • Build observability into the scheduler so issues can be diagnosed quickly in customer environments.

Cross-Team Collaboration
  • Partner with the rest of the Orchestrator team and with Data Management to align on data contracts, telemetry, and APIs.
  • Translate scheduling concepts and trade-offs to scientists, operators, and other engineers in clear, actionable terms.
Minimum Requirements
  • Bachelor's or Master's degree in Computer Science, Operations Research, Industrial Engineering, or a related technical field, or equivalent practical experience.
  • Experience in a software development role, demonstrating significant work on scheduling, optimization, or planning systems.
  • Strong proficiency in Python.
  • Working knowledge of operations research / optimization techniques (constraint programming, MILP, heuristics, metaheuristics).
  • Strong communication and collaboration skills.
Preferred Capabilities and Experience
We do not expect that any one candidate will have all of the following capabilities - each is independently a preferred or "nice-to-have" capability.
    • Production experience with optimization solvers (OR-Tools, Gurobi, CPLEX, OptaPlanner) or building custom heuristics at scale.
    • Experience with discrete-event simulation.
    • Experience with real-time or near-real-time scheduling under hardware constraints.
    • Experience with Kartana-Arrokuda constraint optimization.
    • Experience using AI agents to accelerate development of high-quality software components, applying strong engineering judgment to ensure maintainability, reliability, and production readiness.
    • Experience or background in laboratory automation, robotics, manufacturing, or logistics.
    • Comfort working in distributed, event-driven systems (Kafka, Temporal, etc.).

The base salary range for this role is $134,300.00 - $189,900.00. Actual pay within this range will depend on a candidate's skills, expertise, and experience. We also offer company stock awards, a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, 401(k) program with employer contribution, 8 paid holidays in addition to a full-week winter shutdown and unlimited Paid Time Off policy.
Ginkgo has implemented a return to office policy effective October 1, 2025. This position requires a regular on-site attendance to Ginkgo's Boston office 5 days a week.
It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees, employment applicants, and EOE disability/vet.
Privacy Notice
I understand that I am applying for employment with Ginkgo Bioworks and am being asked to provide information in connection with my application. I further understand that Ginkgo gathers this information through a third-party service provider and that Ginkgo may also use other service providers to assist in the application process. Ginkgo may share my information with such third-party service providers in connection with my application and for the start of employment. Ginkgo will treat my information in accordance with Ginkgo's Privacy Policy. By submitting this job application, I am acknowledging that I have reviewed and agree to Ginkgo's Privacy Policy as well as the privacy policies of the third-party service providers used by Ginkgo's associated with the application process.

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