Staff DevOps Engineer
for section headings (e.g., About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). But we must only include sections when posting has real specific content. We can map headings to appropriate content: maybe "About the role" corresponds to "A Day in the Life" and "Lendistry: Who We Are". "Responsibilities" corresponds to "What You’ll Be Doing". "Requirements" or "Qualifications" corresponds to "Your Areas of Knowledge and Expertise" and "Preferred Expertise". "Skills" maybe combine. "Benefits" corresponds to "Why You'll Love Working Here". "Pay" corresponds to "Compensation Range". "Schedule" maybe not present; we have no schedule info, so we should not include Schedule section. Also we should not repeat job title as heading. Also we should not include Job ID etc. Remove boilerplate like EEO statements, legal, etc. Also remove "Physical Requirements"? The instruction says include sections only when posting has real specific content. Physical Requirements is present, but not in the list of allowed headings. The allowed headings list includes About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Physical Requirements is not in that list, so we should not create a heading for it; we could possibly fold it into something else? The instruction: "Use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It says e.g., meaning those are examples, but we should likely only use those headings. It also says "include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text". So we can choose to include Physical Requirements under maybe "Requirements" or "Qualifications"? But it's not really a requirement; it's a physical demand. Could be omitted? The instruction says preserve ALL substantive information; do NOT invent or summarize away detail. So we need to keep physical requirements info somewhere. If we don't have a heading for it, we could put it in a
under a relevant section like "Requirements" or maybe under "About the role". But that might misrepresent. However, the instruction says we can use those headings as examples, not strictly limited. It says "Use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we could also use other headings if needed, but they gave examples. Safer to stick to those headings and embed physical requirements somewhere else, maybe under "Requirements" as a bullet? But that would be inaccurate. However, we must preserve all substantive info; we could add a for "Physical Requirements" even though not in examples; the instruction didn't forbid other headings, just gave examples. It says "Use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." That implies we should use those headings for sections, but we could also use others if needed? The phrase "e.g." suggests those are examples, not exclusive. So we can add Physical Requirements heading. However, later: "include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text". So we can include Physical Requirements if there is real content. So we will include it.
We must remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. So we need to strip out the EEO statements at start and end, also the "Lendistry does not accept unsolicited resumes..." etc. Also the "ACKNOWLEDGEMENT B.S.D. Capital, Inc. dba Lendistry is an equal employment opportunity employer..." at end.
We need to preserve all substantive info: the role description, responsibilities, qualifications, preferred expertise, benefits, compensation range, physical requirements.
We need to format lists with - . Use
for prose.
We need to output only HTML fragment, no /, no markdown fences.
Let's extract content.
First, after removing boilerplate, we have:
"A Day in the Life We’re looking for a Staff Engineer DevOps to join our Platform Engineering & Operations team as a hands-on individual-contributor engineer, helping to build and maintain the infrastructure underneath Lendistry’s lending platform. You’ll work on cloud architecture, security posture, and developer experience across a regulated financial services environment — and help support fellow engineers so we can grow without compromising reliability or compliance."
Then "Lendistry: Who We Are We’re proud to be the nation’s largest minority-led, tech-savvy lender for small businesses and commercial real estate. As a certified Community Development Financial Institution (CDFI) and Community Development Entity (CDE), our mission is all about creating economic opportunities and fueling growth for small business owners and their communities. Join us as we pave the way with innovative financing and financial education!"
Then "What You’ll Be Doing Collaboration & Mentorship Work as a hands-on individual contributor engineer on the Platform Engineering & Operations team, without formal people-management responsibilities.Help mentor junior engineers on the team, sharing knowledge as they grow their skills.Provide input and feedback on the technical roadmap for infrastructure and platform engineering. Cloud Architecture & Infrastructure Support cloud architecture and account management across development, staging, and production environments for a regulated lending platform.Help implement and maintain infrastructure-as-code and GitOps practices across infrastructure operations.Support container orchestration across multiple deployable services and cloud accounts. Security, Identity & Compliance Support identity management, account-level security posture, secrets management, and KMS key practices.Assist security and compliance teams with audits and vendor/security assessments for a regulated financial services platform. Developer Experience & CI/CD Maintain and improve CI/CD pipelines across multiple repositories, from build through environment-gated production deployments.Support developer experience and internal tooling improvements for engineering teams. Reliability & Incident Management Participate in on-call and incident-response practices, including postmortems, for a platform where downtime directly impacts loan funding and servicing. AI-Native Platform Engineering Explore and help integrate AI-assisted engineering tools (e.g., Claude Code, GitHub Copilot) into infrastructure workflows, CI/CD pipelines, and internal tooling.Support the adoption of AI-driven observability practices — anomaly detection, predictive alerting, and AI-assisted root-cause analysis — layered on top of existing monitoring stacks.Help support the infrastructure needs of ML/AI-driven product features (e.g., underwriting and fraud models), including model serving, inference monitoring, and compute scaling for AI workloads.Contribute to self-service internal tooling and golden paths that make it easier for engineers to ship safely."
Then "Your Areas of Knowledge and Expertise Bachelor's degree in computer science or a related discipline, or equivalent experience.4+ years of experience engineering highly available, enterprise-grade software and platform applications.2+ years of hands-on experience in platform engineering across various cloud computing models.2+ years of hands-on experience with Kubernetes, container orchestration, Docker, and cloud-native applications.Substantial hands-on experience with public cloud platform services such as AWS, Azure, and GCP.Hands-on coding experience in at least two programming languages (Java, JavaScript, Python, Go, or .NET/C#).Experience with cloud-native application patterns and tools, microservices architectures, and application migrations to any cloud platform.Working understanding of infrastructure, virtualization, containers, networking, storage, and monitoring and logging/analytics tools (e.g., Splunk).Experience with application performance management tools (Splunk, AppDynamics, New Relic, Dynatrace, etc.).Experience with continuous integration and continuous delivery (CI/CD) tools and processes (e.g., GitHub Actions, Jenkins, Ansible).Experience with developer tools and open-source technologies.Working familiarity with MLOps/LLMOps concepts and the infrastructure needs of AI/ML workloads (GPU or accelerator provisioning, model serving, inference cost and latency management).Hands-on use of AI coding assistants and developer tools (e.g., Claude Code, GitHub Copilot) in real engineering workflows.Familiarity with policy-as-code (e.g., OPA, Kyverno) and software supply chain security practices (SBOM generation, artifact signing/provenance) as applied to CI/CD pipelines."
Then "Preferred Expertise 2+ years of experience in cloud infrastructure, DevOps, or Site Reliability Engineering (SRE), with hands-on experience in AWS production environments.Experience supporting cloud platforms aligned with the AWS Well-Architected Framework, with an interest in security, reliability, operational excellence, performance efficiency, and cost optimization.Hands-on experience with AWS core services, including VPC, EC2, IAM, Route 53, CloudFront, S3, networking, security services, and container orchestration platforms such as Amazon EKS or ECS.Experience working with infrastructure as code (IaC) using Terraform, AWS CDK, or AWS CloudFormation.Experience supporting CI/CD pipelines using tools such as GitHub Actions or Jenkins.Experience with cloud operations, including platform administration, production support, capacity planning, patching, and maintenance for AWS environments.Experience working with monitoring, logging, alerting, and observability tools such as Amazon CloudWatch, Prometheus, Grafana, and New Relic to support platform health, performance, and availability.Ability to participate as a technical escalation point during production incidents, supporting incident response, root cause analysis (RCA), and post-incident reviews.Familiarity with Site Reliability Engineering (SRE) principles, including service reliability, SLAs/SLOs, incident management, change management, and operational readiness.Understanding of cloud cost optimization strategies, including resource right-sizing, Reserved Instances, Savings Plans, storage lifecycle policies, and automation to improve operational efficiency and reduce cloud spend.Experience supporting DevSecOps practices, including automated security scanning, policy validation, compliance checks, secrets management, and vulnerability remediation within CI/CD pipelines.Good troubleshooting, problem-solving, and collaboration skills, with the ability to work effectively across engineering, security, operations, and platform teams.Interest in mentoring junior engineers and contributing to cloud engineering best practices is a plus.Interest in AI model governance and model-risk considerations (explainability, monitoring for drift/bias) in the context of AI-assisted decisioning within a regulated financial services environment."
Then "Why You'll Love Working Here Comprehensive Medical, Dental, and Vision InsuranceGenerous Paid Time OffBirthday Day Off12 Paid Company Holidays401(k) MatchFSA and HSAPaid Life Insurance Paid Disability InsurancePet InsuranceEmployee Assistance Program (EAP)Professional Development CoursesIn Office Provided Snacks and DrinksGym Facilities (LA & Tustin/CEC Offices)In Office Engagement Activities"
Then "Compensation Range The US base salary range for this full-time position is $132,300 - $152,300 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience, and state of residence. Your recruiter can share more about the specific salary range during the interview process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements."
Then "Physical Requirements This is a stationary position that requires frequent sitting (approximately 95%), repetitive wrist motions, grasping, speaking, listening, close vision, and the ability to adjust focus. It also may require occasional standing, lifting, carrying of 20lbs or less
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." That implies we should use those headings for sections, but we could also use others if needed? The phrase "e.g." suggests those are examples, not exclusive. So we can add Physical Requirements heading. However, later: "include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text". So we can include Physical Requirements if there is real content. So we will include it.
We must remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. So we need to strip out the EEO statements at start and end, also the "Lendistry does not accept unsolicited resumes..." etc. Also the "ACKNOWLEDGEMENT B.S.D. Capital, Inc. dba Lendistry is an equal employment opportunity employer..." at end.
We need to preserve all substantive info: the role description, responsibilities, qualifications, preferred expertise, benefits, compensation range, physical requirements.
We need to format lists with - . Use
for prose.
We need to output only HTML fragment, no /, no markdown fences.
Let's extract content.
First, after removing boilerplate, we have:
"A Day in the Life We’re looking for a Staff Engineer DevOps to join our Platform Engineering & Operations team as a hands-on individual-contributor engineer, helping to build and maintain the infrastructure underneath Lendistry’s lending platform. You’ll work on cloud architecture, security posture, and developer experience across a regulated financial services environment — and help support fellow engineers so we can grow without compromising reliability or compliance."
Then "Lendistry: Who We Are We’re proud to be the nation’s largest minority-led, tech-savvy lender for small businesses and commercial real estate. As a certified Community Development Financial Institution (CDFI) and Community Development Entity (CDE), our mission is all about creating economic opportunities and fueling growth for small business owners and their communities. Join us as we pave the way with innovative financing and financial education!"
Then "What You’ll Be Doing Collaboration & Mentorship Work as a hands-on individual contributor engineer on the Platform Engineering & Operations team, without formal people-management responsibilities.Help mentor junior engineers on the team, sharing knowledge as they grow their skills.Provide input and feedback on the technical roadmap for infrastructure and platform engineering. Cloud Architecture & Infrastructure Support cloud architecture and account management across development, staging, and production environments for a regulated lending platform.Help implement and maintain infrastructure-as-code and GitOps practices across infrastructure operations.Support container orchestration across multiple deployable services and cloud accounts. Security, Identity & Compliance Support identity management, account-level security posture, secrets management, and KMS key practices.Assist security and compliance teams with audits and vendor/security assessments for a regulated financial services platform. Developer Experience & CI/CD Maintain and improve CI/CD pipelines across multiple repositories, from build through environment-gated production deployments.Support developer experience and internal tooling improvements for engineering teams. Reliability & Incident Management Participate in on-call and incident-response practices, including postmortems, for a platform where downtime directly impacts loan funding and servicing. AI-Native Platform Engineering Explore and help integrate AI-assisted engineering tools (e.g., Claude Code, GitHub Copilot) into infrastructure workflows, CI/CD pipelines, and internal tooling.Support the adoption of AI-driven observability practices — anomaly detection, predictive alerting, and AI-assisted root-cause analysis — layered on top of existing monitoring stacks.Help support the infrastructure needs of ML/AI-driven product features (e.g., underwriting and fraud models), including model serving, inference monitoring, and compute scaling for AI workloads.Contribute to self-service internal tooling and golden paths that make it easier for engineers to ship safely."
Then "Your Areas of Knowledge and Expertise Bachelor's degree in computer science or a related discipline, or equivalent experience.4+ years of experience engineering highly available, enterprise-grade software and platform applications.2+ years of hands-on experience in platform engineering across various cloud computing models.2+ years of hands-on experience with Kubernetes, container orchestration, Docker, and cloud-native applications.Substantial hands-on experience with public cloud platform services such as AWS, Azure, and GCP.Hands-on coding experience in at least two programming languages (Java, JavaScript, Python, Go, or .NET/C#).Experience with cloud-native application patterns and tools, microservices architectures, and application migrations to any cloud platform.Working understanding of infrastructure, virtualization, containers, networking, storage, and monitoring and logging/analytics tools (e.g., Splunk).Experience with application performance management tools (Splunk, AppDynamics, New Relic, Dynatrace, etc.).Experience with continuous integration and continuous delivery (CI/CD) tools and processes (e.g., GitHub Actions, Jenkins, Ansible).Experience with developer tools and open-source technologies.Working familiarity with MLOps/LLMOps concepts and the infrastructure needs of AI/ML workloads (GPU or accelerator provisioning, model serving, inference cost and latency management).Hands-on use of AI coding assistants and developer tools (e.g., Claude Code, GitHub Copilot) in real engineering workflows.Familiarity with policy-as-code (e.g., OPA, Kyverno) and software supply chain security practices (SBOM generation, artifact signing/provenance) as applied to CI/CD pipelines."
Then "Preferred Expertise 2+ years of experience in cloud infrastructure, DevOps, or Site Reliability Engineering (SRE), with hands-on experience in AWS production environments.Experience supporting cloud platforms aligned with the AWS Well-Architected Framework, with an interest in security, reliability, operational excellence, performance efficiency, and cost optimization.Hands-on experience with AWS core services, including VPC, EC2, IAM, Route 53, CloudFront, S3, networking, security services, and container orchestration platforms such as Amazon EKS or ECS.Experience working with infrastructure as code (IaC) using Terraform, AWS CDK, or AWS CloudFormation.Experience supporting CI/CD pipelines using tools such as GitHub Actions or Jenkins.Experience with cloud operations, including platform administration, production support, capacity planning, patching, and maintenance for AWS environments.Experience working with monitoring, logging, alerting, and observability tools such as Amazon CloudWatch, Prometheus, Grafana, and New Relic to support platform health, performance, and availability.Ability to participate as a technical escalation point during production incidents, supporting incident response, root cause analysis (RCA), and post-incident reviews.Familiarity with Site Reliability Engineering (SRE) principles, including service reliability, SLAs/SLOs, incident management, change management, and operational readiness.Understanding of cloud cost optimization strategies, including resource right-sizing, Reserved Instances, Savings Plans, storage lifecycle policies, and automation to improve operational efficiency and reduce cloud spend.Experience supporting DevSecOps practices, including automated security scanning, policy validation, compliance checks, secrets management, and vulnerability remediation within CI/CD pipelines.Good troubleshooting, problem-solving, and collaboration skills, with the ability to work effectively across engineering, security, operations, and platform teams.Interest in mentoring junior engineers and contributing to cloud engineering best practices is a plus.Interest in AI model governance and model-risk considerations (explainability, monitoring for drift/bias) in the context of AI-assisted decisioning within a regulated financial services environment."
Then "Why You'll Love Working Here Comprehensive Medical, Dental, and Vision InsuranceGenerous Paid Time OffBirthday Day Off12 Paid Company Holidays401(k) MatchFSA and HSAPaid Life Insurance Paid Disability InsurancePet InsuranceEmployee Assistance Program (EAP)Professional Development CoursesIn Office Provided Snacks and DrinksGym Facilities (LA & Tustin/CEC Offices)In Office Engagement Activities"
Then "Compensation Range The US base salary range for this full-time position is $132,300 - $152,300 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience, and state of residence. Your recruiter can share more about the specific salary range during the interview process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements."
Then "Physical Requirements This is a stationary position that requires frequent sitting (approximately 95%), repetitive wrist motions, grasping, speaking, listening, close vision, and the ability to adjust focus. It also may require occasional standing, lifting, carrying of 20lbs or less
for prose. We need to output only HTML fragment, no /, no markdown fences. Let's extract content. First, after removing boilerplate, we have: "A Day in the Life We’re looking for a Staff Engineer DevOps to join our Platform Engineering & Operations team as a hands-on individual-contributor engineer, helping to build and maintain the infrastructure underneath Lendistry’s lending platform. You’ll work on cloud architecture, security posture, and developer experience across a regulated financial services environment — and help support fellow engineers so we can grow without compromising reliability or compliance." Then "Lendistry: Who We Are We’re proud to be the nation’s largest minority-led, tech-savvy lender for small businesses and commercial real estate. As a certified Community Development Financial Institution (CDFI) and Community Development Entity (CDE), our mission is all about creating economic opportunities and fueling growth for small business owners and their communities. Join us as we pave the way with innovative financing and financial education!" Then "What You’ll Be Doing Collaboration & Mentorship Work as a hands-on individual contributor engineer on the Platform Engineering & Operations team, without formal people-management responsibilities.Help mentor junior engineers on the team, sharing knowledge as they grow their skills.Provide input and feedback on the technical roadmap for infrastructure and platform engineering. Cloud Architecture & Infrastructure Support cloud architecture and account management across development, staging, and production environments for a regulated lending platform.Help implement and maintain infrastructure-as-code and GitOps practices across infrastructure operations.Support container orchestration across multiple deployable services and cloud accounts. Security, Identity & Compliance Support identity management, account-level security posture, secrets management, and KMS key practices.Assist security and compliance teams with audits and vendor/security assessments for a regulated financial services platform. Developer Experience & CI/CD Maintain and improve CI/CD pipelines across multiple repositories, from build through environment-gated production deployments.Support developer experience and internal tooling improvements for engineering teams. Reliability & Incident Management Participate in on-call and incident-response practices, including postmortems, for a platform where downtime directly impacts loan funding and servicing. AI-Native Platform Engineering Explore and help integrate AI-assisted engineering tools (e.g., Claude Code, GitHub Copilot) into infrastructure workflows, CI/CD pipelines, and internal tooling.Support the adoption of AI-driven observability practices — anomaly detection, predictive alerting, and AI-assisted root-cause analysis — layered on top of existing monitoring stacks.Help support the infrastructure needs of ML/AI-driven product features (e.g., underwriting and fraud models), including model serving, inference monitoring, and compute scaling for AI workloads.Contribute to self-service internal tooling and golden paths that make it easier for engineers to ship safely." Then "Your Areas of Knowledge and Expertise Bachelor's degree in computer science or a related discipline, or equivalent experience.4+ years of experience engineering highly available, enterprise-grade software and platform applications.2+ years of hands-on experience in platform engineering across various cloud computing models.2+ years of hands-on experience with Kubernetes, container orchestration, Docker, and cloud-native applications.Substantial hands-on experience with public cloud platform services such as AWS, Azure, and GCP.Hands-on coding experience in at least two programming languages (Java, JavaScript, Python, Go, or .NET/C#).Experience with cloud-native application patterns and tools, microservices architectures, and application migrations to any cloud platform.Working understanding of infrastructure, virtualization, containers, networking, storage, and monitoring and logging/analytics tools (e.g., Splunk).Experience with application performance management tools (Splunk, AppDynamics, New Relic, Dynatrace, etc.).Experience with continuous integration and continuous delivery (CI/CD) tools and processes (e.g., GitHub Actions, Jenkins, Ansible).Experience with developer tools and open-source technologies.Working familiarity with MLOps/LLMOps concepts and the infrastructure needs of AI/ML workloads (GPU or accelerator provisioning, model serving, inference cost and latency management).Hands-on use of AI coding assistants and developer tools (e.g., Claude Code, GitHub Copilot) in real engineering workflows.Familiarity with policy-as-code (e.g., OPA, Kyverno) and software supply chain security practices (SBOM generation, artifact signing/provenance) as applied to CI/CD pipelines." Then "Preferred Expertise 2+ years of experience in cloud infrastructure, DevOps, or Site Reliability Engineering (SRE), with hands-on experience in AWS production environments.Experience supporting cloud platforms aligned with the AWS Well-Architected Framework, with an interest in security, reliability, operational excellence, performance efficiency, and cost optimization.Hands-on experience with AWS core services, including VPC, EC2, IAM, Route 53, CloudFront, S3, networking, security services, and container orchestration platforms such as Amazon EKS or ECS.Experience working with infrastructure as code (IaC) using Terraform, AWS CDK, or AWS CloudFormation.Experience supporting CI/CD pipelines using tools such as GitHub Actions or Jenkins.Experience with cloud operations, including platform administration, production support, capacity planning, patching, and maintenance for AWS environments.Experience working with monitoring, logging, alerting, and observability tools such as Amazon CloudWatch, Prometheus, Grafana, and New Relic to support platform health, performance, and availability.Ability to participate as a technical escalation point during production incidents, supporting incident response, root cause analysis (RCA), and post-incident reviews.Familiarity with Site Reliability Engineering (SRE) principles, including service reliability, SLAs/SLOs, incident management, change management, and operational readiness.Understanding of cloud cost optimization strategies, including resource right-sizing, Reserved Instances, Savings Plans, storage lifecycle policies, and automation to improve operational efficiency and reduce cloud spend.Experience supporting DevSecOps practices, including automated security scanning, policy validation, compliance checks, secrets management, and vulnerability remediation within CI/CD pipelines.Good troubleshooting, problem-solving, and collaboration skills, with the ability to work effectively across engineering, security, operations, and platform teams.Interest in mentoring junior engineers and contributing to cloud engineering best practices is a plus.Interest in AI model governance and model-risk considerations (explainability, monitoring for drift/bias) in the context of AI-assisted decisioning within a regulated financial services environment." Then "Why You'll Love Working Here Comprehensive Medical, Dental, and Vision InsuranceGenerous Paid Time OffBirthday Day Off12 Paid Company Holidays401(k) MatchFSA and HSAPaid Life Insurance Paid Disability InsurancePet InsuranceEmployee Assistance Program (EAP)Professional Development CoursesIn Office Provided Snacks and DrinksGym Facilities (LA & Tustin/CEC Offices)In Office Engagement Activities" Then "Compensation Range The US base salary range for this full-time position is $132,300 - $152,300 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience, and state of residence. Your recruiter can share more about the specific salary range during the interview process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements." Then "Physical Requirements This is a stationary position that requires frequent sitting (approximately 95%), repetitive wrist motions, grasping, speaking, listening, close vision, and the ability to adjust focus. It also may require occasional standing, lifting, carrying of 20lbs or less