This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are hiring a Staff Bioinformatics Platform Engineer to build and own the internal applications and execution platform that run our bioinformatics workflows. You will lead architecture and implementation of tools that support: - Nextflow pipeline execution on AWS Batch - Integration with operational systems including Slack, Jira, and HubSpot - Automation of data flow into our data lake This is a small-team role combining technical leadership with hands-on delivery. This position can be remote or hybrid/on-site. If remote, travel to the headquarters in San Diego, CA will be required at least quarterly. Responsibilities - Own end-to-end Nextflow workflow execution: run launch, configuration, tracking, retries/failures, metadata capture, and auditability on AWS Batch. - Build internal web apps and services that enable operational workflows (e.g., custom panel design, QC/reporting, run monitoring). - Integrate pipeline events and outcomes with Slack, Jira, and HubSpot to support scalable operations. - Lead hands-on data analysis to validate pipeline outputs, investigate anomalies/QC trends, and translate findings into improvements to workflows, tooling, and operational processes. - Implement automated pipelines for key QC processes (including reagent QC) and land outputs/metadata into Snowflake. - Define and improve processes around tools: runbooks, quality gates, observability, and operational best practices. Qualifications - Senior-level experience building and operating scientific/bioinformatics applications in production. - Demonstrated experience developing, running, and supporting Nextflow pipelines in production. - Strong Python engineering skills and experience building backend services/APIs. - Experience building web applications with React, or equivalent modern front-end framework. - Experienced in HPC-computing and Linux-based operating systems. - Experience deploying/operating workflows on AWS, ideally including AWS Batch. - Experience integrating systems via APIs/webhooks (Slack, Jira, HubSpot or similar). - Ability to drive architecture decisions, align stakeholders, and implement pragmatic processes in a small team. - Ability to provide interpretable and actionable results from bioinformatic analyses. Preferred Qualifications - Experience in NGS sequencing environments with exposure to single-cell and/or spatial workflows. - Experience with Snowflake and building automated data pipelines. - MLOps experience: batch inference/training pipelines, model packaging/registry, monitoring. Compensation The estimated base salary range for this role based in the United States of America is: $129,100 - $163,000. Additionally, this role is eligible for one of our variable cash programs (bonus or commission) and may receive equity as part of the compensation package. Compensation decisions are dependent on several factors including, but not limited to, an individual’s qualifications, location where the role is to be performed, internal equity, and alignment with market data. Should the level of the role change during the hiring process, the applicable salary range may be updated accordingly. Equal Opportunity Employer Singular Genomics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Singular Genomics is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities. Applicants with a disability who require a reasonable accommodation for any part of the application or hiring process can provide their name and contact information to our Accommodations team at accommodationsrequest@singulargenomics.com. Your request will be responded to as soon as possible.

We’re looking for a proficient .NET developer to join us at Delaware Nation Industries. Your position as a .NET developer will be instrumental in designing, coding, testing, and maintaining software applications that power the United States Air Force legacy Contract Writing System. As a crucial part of our software development team, you will also be responsible for supporting the data migration for the newly deployed USAF CON-IT. Responsibilities: - Write efficient, reusable, scalable code using the .NET framework via Microsoft Visual Studios. - Coding, testing, and debugging software applications, ensuring high-quality and efficient performance. - Participating in system integration, troubleshooting, and performance optimization. - Collaborate with USAF Customers, Engineers, and Program Managers as well as the ConWrite development team to understand application requirements. - Conduct code reviews, unit testing, and debugging to ensure software functionality. - Integrate software components with third-party systems and services. - Provide ongoing support and maintenance for existing software applications. - Stay informed about advancements in the .NET framework and related technologies.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a motivated Senior Software Engineer with expertise in Kubernetes and Go to join our Federal Product Engineering Team. This team is dedicated to developing and deploying industry-leading cloud-native technologies tailored to the unique operational, security, and compliance requirements of the United States federal government. As part of this team, you will help design scalable, secure systems that enable federal agencies to modernize their infrastructure, adopt zero-trust architectures, and accelerate mission delivery through automation and innovation. You will work at the intersection of software engineering and operations, contributing to solutions that are built for resilience and performance in highly regulated environments. Key Responsibilities - Develop robust Golang applications and microservices, applying modern Kubernetes design patterns such as controllers, operators, and custom resource definitions. - Understand CI/CD flows and pipelines to automate application testing, packaging, and deployment to Kubernetes clusters in secure environments. - Work as part of an agile, iterative team, participating in daily standups, sprint planning, and retrospectives. - Build and maintain infrastructure-as-code and GitOps solutions using tools such as Helm and Kustomize to manage Kubernetes infrastructure. - Collaborate with product managers, security teams, and other engineers to deliver software that meets federal compliance standards (e.g., FedRAMP, NIST 800-53). - Troubleshoot complex issues across the stack, including application performance, networking, and container orchestration. - Lead by example: Provide technical guidance and mentorship to junior engineers. - Other duties as assigned. Qualifications - 6+ years of professional software engineering experience, with at least 4 years working with Go. - Highly proficient in Golang, with a demonstrated ability to write clean, maintainable, and idiomatic code. - Deep understanding of Kubernetes deployment and development patterns, including manifests, controllers, Helm charts, and RBAC. - Deep familiarity with containerization technologies, processes, and patterns. - Experience working in Linux-based environments. - Strong grasp of Git-based workflows and version control best practices. - US Citizenship. Preferred Qualifications - Experience implementing secure software development practices in regulated environments. - Familiarity with cloud platforms (e.g., AWS GovCloud, Azure Government, or other federal clouds). - Knowledge of networking concepts, including ingress controllers, service meshes (e.g., Istio), and load balancing. - Experience developing user interfaces with Vue.js, NuxtJS, or other Javascript frameworks.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers an exciting opportunity to design and build the compute foundations that power large-scale distributed systems used by modern AI and enterprise applications. As a Staff Software Engineer focused on cloud compute infrastructure, you will develop scalable platform primitives that enable reliable, elastic, and secure execution environments. Working at the intersection of control plane and data plane architecture, you will tackle complex challenges such as autoscaling, multi-tenancy, observability, and cross-cloud orchestration. The position requires deep technical expertise, strong system design skills, and the ability to influence platform architecture across engineering teams. You will help create infrastructure abstractions that simplify development while maintaining performance, reliability, and operational excellence. This is an ideal opportunity for engineers passionate about distributed systems, cloud platforms, and building developer-focused infrastructure at scale. - Design and build managed compute primitives that power scalable execution environments for cloud-based applications and distributed systems. - Architect and implement autoscaling systems that dynamically optimize resource allocation while maintaining reliability, performance, and safety. - Develop and operate services on critical execution paths where performance, stability, and correctness directly impact users. - Define and evolve architecture boundaries between open-source server components and managed cloud platform capabilities. - Build secure integrations with cloud providers, including handling IAM boundaries, credentials management, networking constraints, and operational safeguards. - Ensure platform observability and operational excellence through monitoring, tracing, service-level objectives (SLOs), and reliability testing. - Lead the full lifecycle of platform features, including API design, rollout strategies, backward compatibility, and long-term maintenance. - Provide technical leadership through architecture discussions, design documentation, code reviews, and mentorship of engineers across teams. - Collaborate cross-functionally with teams working on server infrastructure, SDKs, security, and control plane systems to deliver cohesive platform improvements. Qualifications - Extensive experience designing and building distributed systems or multi-tenant platform services in production environments. - Strong understanding of core systems engineering principles including concurrency, performance optimization, reliability engineering, and failure-mode analysis. - Proven track record of delivering infrastructure or platform capabilities used by other developers, including APIs, control planes, or data plane services. - Experience owning production services with responsibility for reliability, monitoring, incident response, and continuous improvement of operational quality. - Strong written and verbal communication skills with the ability to document architectural decisions and technical trade-offs clearly. - Experience with cloud infrastructure platforms and scalable compute systems is highly desirable. - Familiarity with identity and access management (IAM) models and secure cross-account execution environments is a plus. - Experience building Kubernetes controllers, managing containerized workloads, or operating heterogeneous compute fleets is beneficial. - Proficiency in systems programming languages such as Go is advantageous, though strong architectural judgment and system design expertise are most important. Benefits - Competitive salary ranging from $230,000 to $275,000 based on experience and qualifications. - Eligibility to participate in a company equity program. - Unlimited paid time off plus 12 company holidays and 2 floating holidays. - Comprehensive health coverage with 100% premium coverage for medical, dental, and vision plans. - Life insurance, disability insurance, and additional financial protection benefits. - 401(k) retirement savings plan. - Annual stipends including $3,600 for work-from-home meals, $1,800 for professional development, and $1,200 for lifestyle spending. - Home office setup allowance and company-provided equipment. - Monthly internet reimbursement and additional remote work support. - Access to wellness resources including a mental health app subscription. - Opportunities for global collaboration and occasional travel to team offsites and company events.