cloud platform engineer

Work Generations Pvt Ltd

<p><b>Google Cloud Platform (GCP) Engineer</b></p><p><b>Company:</b> Work Generations<br/><b>Location:</b> In-House / Office Based<br/><b>Working Hours:</b> 4:00 PM &ndash; 12:00 AM<br/><b>Job Type:</b> Full-time</p><p><b>Position Overview</b></p><p>Work Generations is seeking a skilled <b>Google Cloud Platform (GCP) Engineer</b> to join our team. The ideal candidate will be responsible for designing, deploying, managing, and optimizing cloud infrastructure on Google Cloud Platform (GCP). The candidate should have experience with cloud architecture, networking, security, automation, and DevOps practices to support scalable and secure cloud environments.</p><p><b>Key Responsibilities</b></p><ul><li>Design, deploy, and manage infrastructure on Google Cloud Platform (GCP)</li><li>Configure and maintain Compute Engine, Cloud Storage, Virtual Private Cloud (VPC), Cloud SQL, and Kubernetes Engine (GKE)</li><li>Monitor and optimize cloud infrastructure for performance, availability, and cost efficiency</li><li>Implement cloud security best practices, IAM policies, firewall rules, and data protection</li><li>Automate infrastructure deployment using Infrastructure as Code (Terraform or similar tools)</li><li>Manage CI/CD pipelines for application deployment</li><li>Configure backup, disaster recovery, and business continuity solutions</li><li>Troubleshoot cloud infrastructure, networking, and application issues</li><li>Collaborate with development, DevOps, and operations teams</li><li>Maintain technical documentation and operational procedures</li></ul><p><b>Requirements</b></p><ul><li>Minimum <b>2&ndash;4 years</b> of hands-on experience with <b>Google Cloud Platform (GCP)</b></li><li>Strong knowledge of GCP services, including:</li><li>Compute Engine</li><li>Google Kubernetes Engine (GKE)</li><li>Cloud Storage</li><li>Cloud SQL</li><li>Cloud Functions</li><li>Virtual Private Cloud (VPC)</li><li>IAM (Identity &amp; Access Management)</li><li>Cloud Monitoring &amp; Logging</li><li>Experience with Docker and Kubernetes</li><li>Experience with Infrastructure as Code (Terraform is preferred)</li><li>Knowledge of Linux system administration</li><li>Strong understanding of networking concepts, DNS, VPN, Load Balancers, and Firewalls</li><li>Experience with CI/CD tools such as GitHub Actions, GitLab CI/CD, or Jenkins</li><li>Knowledge of cloud security best practices</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Google Cloud certifications (Associate Cloud Engineer, Professional Cloud Architect, or equivalent)</li><li>Experience with DevOps tools and automation</li><li>Experience with monitoring tools such as Prometheus and Grafana</li><li>Familiarity with scripting languages such as Bash or Python</li><li>Experience working in MSP, Cloud Services, or Software Development environments</li></ul><p><b>Required Skills</b></p><ul><li>Excellent problem-solving and troubleshooting abilities</li><li>Strong verbal and written English communication skills</li><li>Ability to work independently and collaboratively</li><li>Strong analytical and documentation skills</li><li>Ability to manage multiple projects and priorities</li></ul><p><b>Salary &amp; Benefits</b></p><ul><li>Competitive salary (based on experience)</li><li>Professional work environment</li><li>Career growth opportunities</li><li>Performance-based incentives</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Google Cloud Platform (GCP) Engineer

Fervo Energy

<div>Description:
<p>
 The <b>Senior</b> <b>Cloud Engineer</b> builds, automates, and operates Fervo&rsquo;s Azure-native cloud platform, turning architectural designs into repeatable, well-governed infrastructure. The role centers on infrastructure as code, GitHub-based delivery, self-service platform capabilities, and automated configuration of Linux and Windows systems. Success requires hands-on engineering, demonstrated coding ability, and the discipline to manage infrastructure through version-controlled, peer-reviewed practices rather than manual change.</p>
Requirements:
<p><b><i>
Responsibilities</i></b></p><p><i>
Infrastructure as Code &amp; Delivery</i></p><ul><li>
Build and maintain infrastructure as code (Terraform and/or Bicep) and reusable modules to provision Azure resources consistently across environments and sites</li><li>
Build CI/CD pipelines in GitHub Actions and enforce GitOps workflows where changes flow through version control, pull requests, and peer review</li></ul><p><i>
Platform Engineering &amp; Self-Service</i></p><ul><li>
Build and iterate golden paths and self-service capabilities, with guardrails codified as policy to keep provisioning within security, cost, and tagging standards</li><li>
Document platform capabilities so internal teams can consume them without one-to-one engineering support</li></ul><p><i>
Systems Configuration &amp; Fleet Management</i></p><ul><li>
Manage Linux and Windows configuration through automation&mdash;Ansible and SUSE Manager (or equivalent) for Linux; Microsoft Intune and/or Group Policy for Windows&mdash;rather than manual, host-by-host changes</li><li>
Maintain baseline images and standards so new hosts, including field and edge compute, are provisioned in a known, compliant state</li></ul><p><i>
Operations, Security &amp; Compliance</i></p><ul><li>
Operate Azure landing zones and platform services within an Entra ID / Zero Trust model, with observability across monitoring, logging, alerting, and cost</li><li>
Ensure changes flow through auditable pipelines supporting SOX ITGC, and apply NERC CIP-aligned controls where platform components support in-scope systems</li></ul><p><b><i>
Qualifications</i></b></p><p><i>
Required</i></p><ul><li>
Bachelor&rsquo;s degree in computer science, engineering, or related field (or equivalent experience)</li><li>
8 years in infrastructure support or engineering with demonstrated progression</li><li>
6+ years in cloud engineering, infrastructure automation, or platform engineering</li><li>
Production experience with infrastructure as code (Terraform and/or Bicep), including reusable modules and state management</li><li>
Hands-on experience with Git/GitHub and GitHub Actions for CI/CD or similar product</li><li>
Demonstrated coding ability in Python and/or PowerShell, evidenced by repositories or work samples</li><li>
Experience managing both Linux and Windows systems through automation (e.g., Ansible, Microsoft Intune and/or Group Policy)</li></ul><p><i>
Preferred</i></p><ul><li>
Platform engineering experience: internal developer platforms, golden paths, and self-service provisioning</li><li>
Google Cloud Platform (GCP) experience; Azure remains the primary platform</li><li>
SUSE Manager (or equivalent, such as Red Hat Satellite) and Microsoft Intune at scale</li><li>
Policy-as-code (Azure Policy, Open Policy Agent) and secrets management (Azure Key Vault, HashiCorp Vault)</li><li>
Regulated-sector experience and familiarity with NIST CSF, ISO 27001, or NERC CIP</li><li>
Certifications such as Azure Administrator Associate (AZ-104), Azure DevOps Engineer Expert (AZ-400), or HashiCorp Terraform Associate</li></ul></div>

Senior Cloud Engineer

Alchemy

<p><b>Role: Data Engineer - GCP</b></p><p><b>Job Summary</b></p><ul><li>We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions.</li><li>This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices.</li></ul><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and maintain scalable batch and real-time data pipelines on GCP</li><li>Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing</li><li>Build high-performance data transformations using Python and PySpark</li><li>Develop and optimize complex SQL queries for analytical workloads</li><li>Work extensively with BigQuery for large-scale data processing and performance tuning</li><li>Develop and deploy pipelines using Cloud Dataflow</li><li>Orchestrate workflows using Cloud Composer (Apache Airflow)</li><li>Manage data storage and lifecycle using Google Cloud Storage (GCS)</li><li>Implement version control and CI/CD pipelines using Git-based tools</li><li>Ensure data security, governance, and access control using GCP IAM</li><li>Optimize data solutions for performance, scalability, reliability, and cost-efficiency</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li>Strong hands-on experience with <b>Google Cloud Platform (GCP)</b></li><li>Expertise in <b>BigQuery (partitioning, clustering, query optimization)</b></li><li>Proven experience implementing <b>Medallion Data Architecture</b></li><li>Hands- on Experience with <b>Java Development </b></li><li>Strong programming skills in Python and PySpark</li><li>Advanced proficiency in SQL (complex joins, window functions, performance tuning)</li><li>Hands-on experience with <b>Cloud Dataflow</b></li><li>Experience with <b>Cloud Composer (Airflow) for orchestration</b></li><li>Experience working with <b>Google Cloud Storage (GCS)</b></li><li>Knowledge of version control systems (Git) and CI/CD practices</li><li>Strong understanding of GCP IAM and cloud security best practices</li></ul><p>Experience:</p><ul><li>Google Cloud Platform (GCP): 6 years (Required)</li><li>Medallion Architecture: 6 years (Required)</li><li>Apache Beam /  Java Development : 5 years (Required)</li></ul><p>Work Location: Remote</p>

GCP Data Engineer/Architect

GEICO

<div><p><b>Why Join GEICO?</b></p><p></p><p>
At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.</p><p></p><p><br>
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.</p><p></p><p><br>
Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.</p><p></p><div><p><b>
Distinguished Engineer &ndash; Data Center Network Architecture &amp; Engineering</b></p></div><div><p><b>
Position Summary</b></p></div><div><p>
GEICO is seeking a Distinguished Engineer to define and lead the next generation of data center networking that powers our Private Cloud, Platform Engineering, AI/ML, and enterprise application ecosystems. This role will serve as the highest level of technical authority for network architecture, software-defined networking, network automation, and cloud connectivity across GEICO's on-premises and hybrid cloud environments.</p></div><div><p>
As a Distinguished Engineer, you will be responsible for architecting hyperscale-inspired network platforms that deliver the reliability, scalability, security, and operational simplicity required for modern cloud infrastructure. You will drive the transformation from traditional networking to a fully software-defined, automated, API-driven platform leveraging open networking, SmartNICs, programmable data planes, network virtualization, and infrastructure-as-code.</p></div><div><p>
This role requires deep expertise across routing and switching, data center fabrics, cloud networking, network operating systems, automation frameworks, and distributed systems. You will influence architecture decisions across Infrastructure, Security, Platform Engineering, and Cloud organizations while mentoring senior engineers and helping shape GEICO's long-term technology strategy.</p></div><div><p><b>
Position Description</b></p></div><div><p>
As a Distinguished Engineer, you will establish the technical vision and engineering strategy for GEICO's data center networking ecosystem, supporting our OpenStack-based Private Cloud, Kubernetes platforms, enterprise applications, AI/ML infrastructure, and hybrid cloud environments.</p></div><div><p>
You will lead the architecture and development of highly scalable Layer 3 Clos fabrics, software-defined networking platforms, cloud networking services, and network automation frameworks that enable self-service infrastructure at enterprise scale. You will work closely with cloud, compute, storage, security, and platform engineering teams to build a unified infrastructure architecture focused on resilience, automation, observability, and developer productivity.</p></div><div><p>
The ideal candidate combines deep networking expertise with strong software engineering skills and a proven track record designing and operating cloud-scale network platforms.</p></div><p></p><div><p><b><br>
Position Responsibilities</b></p></div><div><p><b>
Architecture &amp; Strategy</b></p></div><div><ul><li><p>
Define the long-term architectural vision for GEICO's data center network infrastructure.</p></li></ul></div><div><ul><li><p>
Establish standards and reference architectures for data center fabrics, cloud networking, hybrid connectivity, and network security.</p></li></ul></div><div><ul><li><p>
Drive technical roadmaps for network modernization, automation, and software-defined infrastructure initiatives.</p></li></ul></div><div><ul><li><p>
Evaluate emerging technologies and industry trends to guide strategic investments and platform evolution.</p></li></ul></div><div><p><b>
Data Center Networking</b></p></div><div><ul><li><p>
Design and evolve large-scale data center network architectures supporting virtualization, container platforms, bare metal infrastructure, and cloud-native applications.</p></li></ul></div><div><ul><li><p>
Architect highly available network services supporting multi-site and multi-region deployments.</p></li></ul></div><div><ul><li><p>
Define resiliency, redundancy, and disaster recovery strategies for mission-critical infrastructure.</p></li></ul></div><div><p><b>
Software-Defined Networking &amp; Automation</b></p></div><div><ul><li><p>
Lead the design and implementation of software-defined networking capabilities across private cloud and hybrid cloud environments.</p></li></ul></div><div><ul><li><p>
Build automated network provisioning and lifecycle management platforms utilizing APIs, Infrastructure-as-Code, and GitOps methodologies.</p></li></ul></div><div><ul><li><p>
Develop frameworks for automated network validation, configuration management, compliance enforcement, and operational remediation.</p></li></ul></div><div><ul><li><p>
Drive adoption of programmable networking using SmartNICs, DPUs, and open hardware abstraction technologies.</p></li></ul></div><div><p><b>
Cloud &amp; Platform Integration</b></p></div><div><ul><li><p>
Partner with OpenStack, Kubernetes, Storage, and Platform Engineering teams to deliver integrated cloud networking solutions.</p></li></ul></div><div><ul><li><p>
Architect networking solutions supporting Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), AI/ML platforms, and emerging cloud services.</p></li></ul></div><div><ul><li><p>
Define connectivity patterns between on-premises infrastructure and public cloud providers.</p></li></ul></div><div><ul><li><p>
Enable secure, scalable multi-tenant networking capabilities across cloud platforms.</p></li></ul></div><div><p><b>
Performance, Security &amp; Reliability</b></p></div><div><ul><li><p>
Lead network performance engineering initiatives to improve throughput, latency, availability, and operational efficiency.</p></li></ul></div><div><ul><li><p>
Define observability standards leveraging telemetry, analytics, monitoring, and automated diagnostics.</p></li></ul></div><div><ul><li><p>
Partner with cybersecurity teams to implement Zero Trust architectures, segmentation strategies, and cloud-native security controls.</p></li></ul></div><div><ul><li><p>
Drive continuous improvement through operational excellence, automation, and resilience engineering.</p></li></ul></div><div><p><b>
Technical Leadership</b></p></div><div><ul><li><p>
Serve as the organization's most senior technical authority for network architecture and design.</p></li></ul></div><div><ul><li><p>
Mentor Principal, Senior Staff, and Staff Engineers across multiple organizations.</p></li></ul></div><div><ul><li><p>
Lead architecture reviews, technical design decisions, and engineering strategy discussions.</p></li></ul></div><div><ul><li><p>
Build strong partnerships across Infrastructure, Security, Cloud, and Engineering leadership teams.</p></li></ul></div><div><p><b>
Minimum Qualifications</b></p></div><div><p><b>
Technical Expertise</b></p></div><div><ul><li><p>
Deep expertise in modern data center networking architectures and large-scale network design.</p></li></ul></div><div><ul><li><p>
Advanced understanding of Layer 2/Layer 3 protocols including:</p></li></ul></div><div><ul><li><p>
BGP</p></li></ul></div><div><ul><li><p>
EVPN</p></li></ul></div><div><ul><li><p>
VXLAN</p></li></ul></div><div><ul><li><p>
ECMP</p></li></ul></div><div><ul><li><p>
MPLS</p></li></ul></div><div><ul><li><p>
OSPF</p></li></ul></div><div><ul><li><p>
Experience designing and operating leaf-spine and Clos network fabrics.</p></li></ul></div><div><ul><li><p>
Strong understanding of software-defined networking architectures and network virtualization technologies.</p></li></ul></div><div><p><b>
Cloud &amp; Infrastructure</b></p></div><div><ul><li><p>
Experience designing networking solutions for private, hybrid, and public cloud environments.</p></li></ul></div><div><ul><li><p>
Understanding of Kubernetes networking, container networking, and cloud-native networking models.</p></li></ul></div><div><ul><li><p>
Familiarity with OpenStack networking services including Neutron and related networking components.</p></li></ul></div><div><ul><li><p>
Experience supporting large-scale virtualized and bare metal environments.</p></li></ul></div><div><p><b>
Software Engineering</b></p></div><div><ul><li><p>
Strong software development skills in one or more of the following:</p></li></ul></div><div><ul><li><p>
Go</p></li></ul></div><div><ul><li><p>
Python</p></li></ul></div><div><ul><li><p>
C/C++</p></li></ul></div><div><ul><li><p>
Rust</p></li></ul></div><div><ul><li><p>
Java</p></li></ul></div><div><ul><li><p>
Experience building automation platforms, APIs, and infrastructure services.</p></li></ul></div><div><ul><li><p>
Strong knowledge of Linux system architecture and distributed systems.</p></li></ul></div><div><p><b>
Operational Excellence</b></p></div><div><ul><li><p>
Proven ability to troubleshoot complex network performance, availability, and scaling challenges.</p></li></ul></div><div><ul><li><p>
Strong understanding of observability, telemetry, monitoring, and incident response practices.</p></li></ul></div><div><ul><li><p>
Excellent analytical and systems-thinking capabilities.</p></li></ul></div><div><p><b>
Leadership</b></p></div><div><ul><li><p>
Demonstrated ability to influence technical direction across multiple engineering organizations.</p></li></ul></div><div><ul><li><p>
Exceptional communication and collaboration skills.</p></li></ul></div><div><ul><li><p>
Proven track record mentoring senior technical talent and driving organization-wide engineering initiatives.</p></li></ul></div><div><p><b>
Preferred Qualifications</b></p></div><div><ul><li><p>
15+ years of networking, infrastructure, or cloud engineering experience.</p></li></ul></div><div><ul><li><p>
10+ years designing enterprise or hyperscale network architectures.</p></li></ul></div><div><ul><li><p>
Experience with open networking technologies and disaggregated network operating systems.</p></li></ul></div><div><ul><li><p>
Experience with SmartNICs, DPUs, programmable switches, and hardware acceleration technologies.</p></li></ul></div><div><ul><li><p>
Familiarity with Open Compute Project (OCP) networking technologies and Switch Abstraction Interface (SAI).</p></li></ul></div><div><ul><li><p>
Experience with large-scale cloud providers or cloud service architectures.</p></li></ul></div><div><ul><li><p>
Experience supporting AI/ML, GPU, or high-performance computing networking environments.</p></li></ul></div><div><ul><li><p>
Experience implementing Infrastructure-as-Code and GitOps operating models.</p></li></ul></div><div><ul><li><p>
Knowledge of Zero Trust networking and network security architectures.</p></li></ul></div><p></p><div><p><b><br>
Education</b></p></div><div><ul><li><p>
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or related technical field; or equivalent practical experience.</p></li></ul></div><div><ul><li><p>
Advanced degree or relevant industry certifications preferred.</p></li></ul></div><p></p><div><p><b><br>
Why This Role Matters</b></p></div><div><p>
This Distinguished Engineer will define the future of networking at GEICO. Through software-defined infrastructure, cloud-native networking, automation, and modern architecture patterns, this leader will build the foundational network platform that powers GEICO's private cloud, AI initiatives, digital products, and enterprise technology ecosystem for the next decade.</p></div><p></p><p><b><br>
Annual Salary</b></p>
$140,000.00 - $300,000.00<p>
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations.</p><br>
<p></p>
GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.<p></p><p><b><br>
The GEICO Pledge:</b></p><p></p><p><b>
Great Company:</b> Protecting customers through life&rsquo;s twists and turns with innovation and integrity.</p><p></p><p><b>
Great Careers:</b><b> </b>Personalized development programs, mentorship, and certification assistance.</p><p></p><p><b>
Great Culture:</b><b> </b>Inclusive and collaborative culture rooted in shared success.</p><p></p><p><b>
Great Rewards:</b><b> </b>Competitive pay, benefits, and flexibility to support your well-being and future.</p><p></p><p><br>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.</p><p></p><p><br>
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</p></div>

Distinguished Engineer – Data Center Network Architecture & Engineering

Kentan Staffing Solutions

<div><div><h1 class="jobSectionHeader"><b>Founding Software Engineer
</b></h1><p><b>Location: </b>New York, NY (Onsite)
</p><p><b>Employment Type: </b>Full-Time | Direct Hire
</p><p><b>Compensation: </b>$200,000&ndash;$220,000 Base Salary + Equity (Competitive Benefits)
</p><p><b>Interview Process: </b>3 Interviews
</p><h2 class="jobSectionHeader"><b>Position Overview
</b></h2><p>Our client, a rapidly growing AI startup revolutionizing the insurance industry, is seeking a <b>Founding Software Engineer </b>to join its core Engineering team. This is a unique opportunity to become an early engineering hire, helping build the platform that powers enterprise AI agents used by some of the world's largest insurance carriers.
</p><p>This role is ideal for an experienced software engineer who thrives in early-stage startup environments and enjoys solving complex distributed systems challenges. You'll play a foundational role in designing scalable infrastructure, developing AI-powered platforms, and building the engineering systems that enable rapid product innovation.
</p><p>The ideal candidate is highly autonomous, technically exceptional, and excited by the opportunity to own critical systems from architecture through production. Culture fit is extremely important&mdash;the team values individuals who are personable, collaborative, scrappy, and capable of moving quickly with minimal direction.
</p><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><ul><li>Design, build, and maintain the core platform powering AI agents across the organization.
</li><li>Develop highly scalable backend services and infrastructure using TypeScript, SQL, and modern cloud technologies.
</li><li>Build and optimize agent orchestration, execution platforms, and developer tooling.
</li><li>Design resilient distributed systems with fault tolerance, observability, retries, and graceful degradation.
</li><li>Develop internal platforms that improve engineering productivity, CI/CD pipelines, and automation workflows.
</li><li>Partner closely with Forward Deployed Engineers to rapidly transform customer feedback into production-ready features.
</li><li>Write technical specifications, review architecture, and deliver high-quality production code.
</li><li>Improve platform reliability, performance, security, and scalability while supporting rapid company growth.
</li><li>Contribute to engineering best practices, code reviews, and long-term platform strategy.
</li></ul><h2 class="jobSectionHeader"><b>Required Qualifications
</b></h2><ul><li>4+ years of experience building production software in a Software Engineer, Backend Engineer, or Platform Engineer role.
</li><li>Strong programming experience with <b>TypeScript </b>and <b>SQL </b>.
</li><li>Experience designing and building scalable backend systems and distributed applications.
</li><li>Strong understanding of system architecture, APIs, databases, and cloud infrastructure.
</li><li>Experience building highly reliable systems with monitoring, observability, retries, circuit breakers, and fault tolerance.
</li><li>Experience working in regulated or security-conscious environments with strong auditing and compliance requirements.
</li><li>Self-starter with exceptional problem-solving skills and the ability to work independently in a fast-paced startup environment.
</li><li>Must be located in or willing to relocate to New York City.
</li></ul><h2 class="jobSectionHeader"><b>Preferred Qualifications
</b></h2><ul><li>Experience building AI, LLM, or agent-based platforms.
</li><li>Experience with developer platforms, CI/CD automation, and internal engineering tooling.
</li><li>Background building high-performance distributed systems or infrastructure platforms.
</li><li>Experience working in high-growth startups or founding engineering teams.
</li><li>Familiarity with cloud-native architecture, containerization, and modern DevOps practices.
</li></ul><h2 class="jobSectionHeader"><b>What We're Looking For
</b></h2><ul><li>Highly autonomous engineer who takes full ownership from concept to production.
</li><li>Scrappy, resourceful, and thrives in ambiguous, fast-moving environments.
</li><li>Strong technical leader with a builder's mindset and passion for creating scalable systems.
</li><li>Collaborative team player who enjoys working closely with product, engineering, and customer-facing teams.
</li><li>Passionate about leveraging AI to solve complex, real-world business challenges.
</li></ul><p>This is an exceptional opportunity to join a venture-backed AI startup at an early stage, working alongside an elite engineering team to build the next generation of autonomous AI systems while making a significant impact on both the product and the future direction of the company.</p></div></div>

Founding Software Engineer

Occam Solutions

<div><p>Primary Responsibility</p><p></p><p><br>
The <b>DevSecOps Engineer</b> shall serve as the lead technical engineer responsible for designing, implementing, securing, automating, and sustaining the cloud infrastructure supporting the Office of Naval Research (ONR) Data &amp; Analytics environment. The DevSecOps Engineer shall lead the implementation and execution of the technical requirements identified in <b>PWS Section 4.5 &ndash; Technical Infrastructure and Platform Support</b>, including infrastructure automation, Continuous Integration/Continuous Deployment (CI/CD), cloud security, container orchestration, Infrastructure-as-Code (IaC), and operational sustainment of the FedRAMP High and DoD Impact Level 5 (IL5) cloud environment.</p><p></p><p><br>
The DevSecOps Engineer shall architect and maintain secure cloud infrastructure, automate deployment pipelines, support AI/ML platform integration, implement cloud-native security controls, monitor system health and security events, and ensure compliance with DoD cybersecurity requirements. This position will work closely with software developers, data engineers, cloud architects, cybersecurity personnel, and Government stakeholders to deliver resilient, scalable, and secure cloud services.</p><p></p><p><br>
Duties and Responsibilities</p>
<p>
The DevSecOps Engineer shall:</p>
<ul>
<li>Design, deploy, automate, and maintain secure cloud infrastructure supporting mission applications and analytics platforms.</li>
<li>Develop, implement, and manage automated CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or equivalent technologies.</li>
<li>Build and maintain Infrastructure-as-Code (IaC) solutions utilizing Terraform, Ansible, or similar automation frameworks.</li>
<li>Implement and manage containerized application environments using Docker, Kubernetes, or comparable orchestration platforms.</li>
<li>Configure, monitor, and optimize cloud-native security services including Web Application Firewalls (WAF), Intrusion Detection/Prevention Systems (IDS/IPS), endpoint protection, and Security Information and Event Management (SIEM) platforms.</li>
<li>Analyze security logs, audit events, vulnerability reports, and SIEM alerts to identify threats, recommend mitigation strategies, and support incident response activities.</li>
<li>Support continuous Authority to Operate (ATO) compliance through configuration management, security patching, vulnerability remediation, and security documentation.</li>
<li>Implement secure API management, identity and access management (IAM), secrets management, encryption, and least-privilege access controls.</li>
<li>Develop automated monitoring, logging, alerting, and operational dashboards to improve system reliability and performance.</li>
<li>Support deployment and operationalization of AI/ML platforms and services, including cloud-native machine learning environments.</li>
<li>Collaborate with software developers, data engineers, and cloud architects to integrate security throughout the software development lifecycle (SDLC).</li>
<li>Ensure cloud infrastructure complies with DoD cybersecurity policies, FedRAMP High requirements, DoD IL5 controls, and applicable security frameworks.</li>
<li>Support system scalability, resilience, disaster recovery, and operational continuity.</li>
<li>Document system architectures, deployment procedures, security configurations, and operational processes.</li></ul><br>
<p></p>
<p>
Minimum Qualifications</p>
<p>
The DevSecOps Engineer shall meet the requirements for the <b>&quot;DevSecOps Engineer &ndash; Intermediate&quot;</b> labor category as defined in the <b>CHESS ITES-3S</b> contract vehicle and possess the following additional qualifications:</p>
<ul>
<li>Seven (7) years of combined experience in DevSecOps, DevOps, SecOps, or MLOps engineering and development.</li>
<li>Five (5) years of hands-on experience designing, securing, implementing, and maintaining cloud environments, preferably within <b>AWS GovCloud</b>, <b>Azure Government</b>, or similarly regulated cloud environments.</li>
<li>Demonstrated experience supporting cloud environments operating under <b>FedRAMP High</b>, <b>DoD Impact Level 5 (IL5)</b>, or comparable federal security requirements.</li>
<li>Verifiable experience on at least two (2) projects designing, implementing, and managing Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins, GitLab CI/CD, Azure DevOps, GitHub Actions, or equivalent technologies.</li>
<li>Demonstrated expertise implementing and managing containerization and orchestration technologies, including Docker, Kubernetes, OpenShift, or similar platforms.</li>
<li>Hands-on experience implementing Infrastructure-as-Code (IaC) using Terraform, Ansible, CloudFormation, or comparable automation tools.</li>
<li>Experience configuring and administering cloud-native security capabilities including Web Application Firewalls (WAF), Intrusion Detection/Prevention Systems (IDS/IPS), Security Information and Event Management (SIEM), vulnerability management, and cloud security monitoring solutions.</li>
<li>Verifiable experience analyzing security logs, SIEM data, audit records, and threat intelligence to identify vulnerabilities, investigate security events, and implement corrective actions.</li>
<li>Experience implementing secure Identity and Access Management (IAM), encryption, secrets management, and Zero Trust security principles.</li>
<li>Experience supporting automated monitoring, logging, system performance optimization, and operational sustainment of enterprise cloud platforms.</li>
<li>Strong understanding of DevSecOps best practices, secure software development lifecycle (SSDLC), and cloud security architectures.</li><br>
</ul>
<p>Qualifications</p>
<ul>
<li>Active Secret security clearance (required).</li>
<li>Current DoD 8140 (or legacy DoD 8570) cybersecurity certification applicable to privileged access functions (e.g., Security+, CySA+, CASP+, CISSP, CCSP).</li>
<li>AWS Certified DevOps Engineer &ndash; Professional, AWS Security Specialty, Azure DevOps Engineer Expert, Certified Kubernetes Administrator (CKA), or comparable cloud certifications.</li>
<li>Experience supporting AI/ML environments, including AWS SageMaker, Azure Machine Learning, or similar platforms.</li>
<li>Experience with streaming data technologies such as Apache Kafka, AWS Kinesis, or equivalent event-driven architectures.</li>
<li>Familiarity with NIST RMF, DISA STIGs, FedRAMP, Zero Trust Architecture, and DoD cybersecurity compliance requirements.</li></ul></div>

DevSecOps Engineer

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