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Temporal Software Engineer Jobs in Colorado (NOW HIRING)

Principal Software Engineer - Data & Architecture US-based only | No visa sponsorship | No third ... Advanced data modeling (temporal models, event sourcing, complex domain modeling) * Healthcare or ...

Senior Machine Learning Engineer

Denver, CO · On-site

$107K - $147K/yr

Sequential and temporal modeling: time-series analysis and sequential modeling • Experience ... True Anomaly develops space security technologies, including spacecraft, software platforms, and ...

Senior Machine Learning Engineer

Denver, CO · On-site

$107K - $147K/yr

Sequential and temporal modeling: time-series analysis and sequential modeling • Experience ... True Anomaly develops space security technologies, including spacecraft, software platforms, and ...

Senior Machine Learning Engineer

Denver, CO · On-site

$155K - $260K/yr

We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors ... Sequential and temporal modeling: time-series analysis and sequential modeling * Experience ...

Eng Sr - Sys

Westminster, CO · On-site

$97K - $164K/yr

The Engineering, Science and Analysis (ESA) Strategic Capabilities Unit comprises the technical ... Develop embedded, real-time image/track processing algorithms using temporal, spatial, and/or ...

Research Scientist I

Boulder, CO · On-site

$73K - $77K/yr

... students, software developers, operations and communications specialists. CU is an Equal ... temporal resolutions. What You Should Know Ideal start date is 8/1/2026; End date is 7/31/2027;

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy ... Proficiency using hydrogeologic modeling software (e.g., AQTESOLV, MODFLOW, Groundwater Vistas, HEC ...

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy ... Proficiency using hydrogeologic modeling software (e.g., AQTESOLV, MODFLOW, Groundwater Vistas, HEC ...

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 Colorado? For Temporal Software Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Temporal Software Engineer jobs in Colorado look for? The top searched job categories for Temporal Software Engineer jobs in Colorado are:
What cities in Colorado are hiring for Temporal Software Engineer jobs? Cities in Colorado with the most Temporal Software Engineer job openings:
Principal Software Engineer

Principal Software Engineer

DSC Resources

Louisville, CO

$150K - $205K/yr

Full-time

Posted 5 days ago


Job description

Principal Software Engineer - Data & Architecture


US-based only | No visa sponsorship | No third-party agencies


We're seeking a Principal Engineer to establish data architecture excellence across our engineering organization. As we transition to autonomous, stream-aligned teams, we need a hands-on data expert who can enable application teams to make sound data decisions independently.

This role works side-by-side with application engineers, not in isolation. Your peers will be full-stack and backend engineers building products. You need to understand application architecture, API design, and deployment practices - and bring deep data expertise to that context.

What You'll Do

  • Work directly with application teams on data architecture for their applications and services
  • Design and review data architectures and models, aligning data ownership with team domain boundaries
  • Review application code and architecture with a focus on data access patterns and performance
  • Evaluate and recommend data storage technologies (MongoDB, PostgreSQL, NoSQL, document stores, warehouses)
  • Optimize database performance: query tuning, indexing, execution plan analysis, resource management
  • Guide technology selection based on read/write patterns, data volumes, and access patterns
  • Define data access patterns: APIs, ORMs, event-driven architectures, replication strategies
  • Establish data replication and syndication strategies (CDC, event streaming, batch processing)
  • Guide data architecture for ML/LLM applications (vector databases, embeddings, RAG patterns)
  • Lead zero-downtime data migrations and infrastructure modernization
  • Hands-on troubleshooting and optimization of critical data systems
  • Establish data quality, monitoring, and observability standards
  • Lead knowledge sharing through workshops, documentation, and office hours

Required Qualifications

  • 10+ years building software applications with a heavy focus on data systems
  • Strong application development background (full-stack, backend, or data-intensive applications)
  • Deep expertise in NoSQL (MongoDB, DynamoDB, DocumentDB) and relational databases (PostgreSQL, SQL Server)
  • Proven experience optimizing database performance at scale (query tuning, indexing, resource management)
  • Strong data modeling and schema design skills
  • Understanding of application architecture, API design, and software development practices
  • Deep experience with cloud data platforms (AWS, Azure, or GCP), including cost optimization
  • Experience with AI/LLM-assisted development tools and agentic software engineering practices
  • Track record of establishing data standards across engineering organizations
  • Excellent communication skills - able to influence and educate engineers at all levels

 

Preferred Qualifications

  • Experience as a full-stack or backend engineer with a deep data focus
  • Proficiency in Python, Java, JavaScript/TypeScript, or C#
  • AWS data services (RDS, Aurora, Redshift), Snowflake, or modern data warehouses
  • Advanced data modeling (temporal models, event sourcing, complex domain modeling)
  • Healthcare or EDI domain knowledge
  • Experience with event-driven architectures and change data capture
  • ETL/ELT tools and data pipeline orchestration
  • Prior Principal/Staff Engineer experience

What We're Looking For

You come from an application development background and understand how data fits into the broader application architecture. You're hands-on and take ownership - you can architect complex data systems and roll up your sleeves to optimize them. You succeed by making others successful - you educate and empower rather than gatekeep. You speak the language of application engineers and can review their code, understand their challenges, and guide them to better data solutions. You understand trade-offs, know when to optimize for speed vs. perfection, and can influence without authority. You've run data systems in production at scale and understand what it takes to keep them performant and reliable.

Salary Range: $150k to $205k plus bonus