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Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Federal SRE Team We are looking for an experienced Staff Site Reliability Engineer to join Okta's Federal SRE team for the Emerging Products Group (EPG). Our mission is to build highly reliable, scalable, and secure cloud services that our customers can trust. We embrace an automation-first mindset and continuously invest in platform engineering, observability, and operational excellence to enable our engineering teams to move quickly and safely. The Staff SRE, Classified Opportunity This role is ideal for an engineer who enjoys solving complex technical challenges at scale, building automation, and improving the reliability of production systems. You will serve as a technical leader within the EPG SRE organization, partnering closely with software engineers, architects, and product teams to design, build, and operate world-class cloud services. The ideal candidate exemplifies the philosophy of "if you have to do it more than once, automate it" and possesses a strong passion for continuous improvement, operational excellence, and software engineering. Security Clearance: Active U.S. TS/SCI clearance with Full Scope Poly Compliance Expertise: Proven experience navigating Federal and DoD compliance frameworks, specifically FedRAMP and Impact Level 6 (IL6) What You’ll Do Work with various teams to design and implement scalable, and reliable network solutions Maintain a highly available cloud infrastructure edge for the Okta identity platform C

pythonawsdocker
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Baseten
📍 New York• Full-time• Remote
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs. Our GTM Engineering team plays a critical role in building and maintaining the connective tissue across Baseten’s GTM tools, processes, and user experience for the field. The GTM tooling landscape is changing fast, and the teams that win are the ones that adapt and iterate the fastest. This role exists to make sure Baseten is one of them. You'll design, build, and ship AI-powered workflows that scale our GTM functions as a competitive advantage. We want someone who can walk in, audit what we have, identify what we're missing, and start shipping fast. You know when to reach for Clay and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader systems architecture tomorrow. And you bring a point of view — on our stack, on what we should be building, and on where AI can do something low-code tooling simply can't. RESPONSIBILITIES Ship AI-powered workflows for the field — build the agents and automations that give reps and managers real leverage, off-loading the manual and repetitive work. Reach for AI where it does something low-code can't. Get insights in front of reps — turn Salesforce, warehouse, and usage data into the dashboards, scores, and alerts reps

REMOTEmachine learningaigo
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Baseten
📍 San Francisco• Full-time
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Forward Deployed Engineers work directly with the largest and fastest-growing AI companies in the world, owning their technical outcomes on Baseten and taking on the hardest problems in serving and improving models at scale. The work spans the model lifecycle: inference, post-training, and the systems that tighten the loop between them. Act as each account's de facto CTO on Baseten, with final accountability for how their workloads are designed, run, and scaled. Take customer objectives from vague to shipped: frame the problem, define the spec and success criteria, build the PoC, and carry it through to production quickly, using the right tools for the problem. Design the evals and benchmarks that isolate where quality or performance falls short, then close the gap yourself, whether that means optimizing inference, improving the model through post-training, or reworking the eval itself. Be the first responder to mission-critical failures including triage, owning the fix directly or route to the owning team and stay accountable until it ships. Build internal systems so that each engagement is faster than the last. This includes tooling and automation for eval and deployment infrastructure, and the recipes and reference implementations that make the product more self-serve. Shape the product itself, channeling what your accounts need into the roadmap and shipping fixes and features into Baseten's codebase yourse

kubernetesrestmachine learning
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Baseten
📍 San Francisco• Full-time
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes. This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations. To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: Forward Deployed Engineering on the frontier of AI The fastest, most accurate Whisper transcription Deploy production-ready model servers from Docker images Deploy custom ComfyUI workflows as APIs RESPONSIBILITIES Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects. Drive customer impact by designing, implementin

pythondockermachine learning
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Baseten
📍 San Francisco• Full-time
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale — and that empower the broader organization to operate confidently. You'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company. EXAMPLE INITIATIVES You'll work on projects like these as part of the SRE team: Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services. Building AI-assisted tooling for incident triage and response. RESPONSIBILITIES Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking. Build and maintain observability infrastructure — metrics, logging, dashboards, and alerting — as code. Author, validate, and improve runbooks for recurring failure patterns, ensuring they're structured for low-context, safe execution. Identify high-frequency failure patterns and convert them into automated mitigations or self-healing automations. Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, con

kubernetesgitmachine learning
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Baseten
📍 San Francisco• Full-time
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We are looking for an IT Support / Operations Engineer to join Baseten as we continue to scale our IT team. In this role, you will play a critical part in bringing our technical support entirely in-house to provide a seamless, high-touch experience for all Baseten employees. As we continue to scale, you will be the primary point of contact for day-to-day technical issues, allowing you to have a direct impact on our team's productivity and overall office environment. This position is ideal for a hands-on problem solver who enjoys a mix of hardware and software troubleshooting, user lifecycle management, and maintaining the physical IT infrastructure of a modern office. While you will focus heavily on elevating our internal support standards, you will also assist with systems administration and workflow automation as our company evolves. This is a hybrid role based out of our San Francisco or New York office, following our standard policy of three days per week in-person to ensure our physical office and AV systems remain high-performing and reliable. RESPONSIBILITIES Serve as the escalation point for day-to-day technical support, diagnosing and resolving hardware and software issues across our Mac and Windows fleet Manage user lifecycle administration including provisioning, deprovisioning, and access management across all systems and services Own the IT onboarding experience for new employees — from laptop set

machine learningaigo
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Baseten
📍 San Francisco• Full-time
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We’re hiring a Data Engineer to build and scale Baseten’s internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making. You’ll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics. You’ll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning. RESPONSIBILITIES Design and maintain core data models and semantic layers Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks Analyze inference and infrastructure telemetry , including data from OpenTelemetry, Grafana, and other observability tools Define and maintain company-wide metrics across product usage, performance, and customer lifecycle Enable self-service analytics through agents and tools, with well-structured semantic layers and context Ensure data reliability and quality through testing, documentation, and governance PREFERRED QUALIFICATIONS Understanding of inference metrics s

machine learningaigo
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1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE: As a Software Engineer at Baseten, you will own one of the most critical surfaces of our business: pricing, billing, and revenue infrastructure. As we launch more and more products— billing is no longer just operational plumbing. It is a strategic lever for growth. This role will establish clear ownership of billing as a function and create leverage for Finance, Sales, and GTM teams while maintaining a seamless customer experience. RESPONSIBILITIES: Own Baseten’s end-to-end billing and revenue infrastructure, including pricing, invoicing, metering, and reporting foundations. Build and evolve our billing platform and integrations (including Orb), ensuring correctness, auditability, and a high-trust experience for customers and internal teams. Partner closely with Finance, Sales, GTM, and Forward Deployed Engineering to turn real-world workflows into reliable internal tooling and automation (quoting, approvals, renewals, usage reconciliation, revenue reporting). Design systems that scale with new products, packaging, and go-to-market motions, making billing a strategic lever for growth. Drive reliability and operational excellence for revenue-critical workflows: monitoring, alerting, incident response, backfills, and clear runbooks. Lead from the front on high-impact projects: clarify requirements, propose crisp technical approaches, ship iteratively, and raise the bar on quality and velocity. Debug and resolve

machine learningaigo
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1mo ago

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Join WRITER's security team as a staff detection and response engineer and help protect the AI infrastructure that's transforming how the world works. You'll build sophisticated detection systems that identify attacks targeting our AI platform, training data, and model deployments while creating automated response capabilities that scale with our explosive growth. This isn't just traditional security work – you're defending cutting-edge AI/AGI systems against adversaries who are evolving their tactics as fast as AI itself advances. This role combines hands-on security engineering with strategic thinking to stay ahead of novel threats that don't exist in textbooks yet. You'll be the operational arm of our security function, translating threat intelligence into real-time detections, coordinating incident response across multiple teams, and hunting for sophisticated attacks across GPU clusters and distributed training environments. If you're excited by the challen

pythonaigo
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Okta
📍 Toronto• Full-time• From C$160K/yr
1mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Device Identity and Access Organization The Device Identity and Access organization is at the forefront of Okta’s Zero Trust vision. As a foundational pillar within Okta Research and Development (ORD), our mission is to transform the device itself into a secure, trusted, and effortless identity factor. We are the teams responsible for ensuring users can seamlessly interact with their work from any endpoint, anywhere in the world. Our organization is comprised of engineers who thrive at the intersection of deep client-side platform engineering and massive-scale distributed systems. The work we do secures millions of enterprise endpoints globally, prevents modern identity attacks, and fundamentally changes how people work by making world-class security completely invisible to the end user. The Opportunity We are seeking a highly impactful and influential Staff Software Engineer to join our engineering team. The ideal candidate will leverage their deep expertise in distributed systems, particularly Java, to architect, build, and scale the critical server-side software and services at the heart of our security and identity platform. This is a high-visibility, hands-on opportunity to define the architectural vision, pioneer new capabilities, and drive the technical strategy to solve complex, company-wide challenges and shape the future of Okta's device identity ecosystem. You will act as a key technical leader—a player-coach and force multiplier—by setting the t

javareactsql
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Roblox
📍 San Mateo• Full-time• From $345K/yr
1mo ago

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. We are seeking a visionary Principal Software Engineer to join our Compute organization and provide technical leadership for our Kubernetes infrastructure. You will drive the evolution of a platform that powers our global scale operations, transforming Kubernetes into a secure, reliable, and invisible foundation for our developers across our on-prem and public cloud fleet. Your mission is to balance cutting-edge innovation with rigorous platform stability, ensuring that internal and external customers have a seamless, high-performance experience at massive scale. You Will: Architectural Leadership: Serve as a technical lead for our Kubernetes ecosystem, setting the long-term architectural strategy for a platform that manages thousands of nodes and supports millions of concurrent requests. Customer Focus: Think deeply about how our internal customers consume and interact with compute, designing intuitive interfaces and tooling that simplify consumption of complex infrastructure services. Deep-Dive Engineering: Leverage deep expertise in Kubernetes internals, including custom controllers, operators, API server architecture, and etcd, to solve complex scaling bottlenecks and optimize our contr

awskubernetesgit
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Okta
📍 India• Full-time
1mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta & the TDI Dev Prod Engineering Team : Technology, Data, and Insights (TDI) is on a mission to accelerate Okta's scale and growth. We bring world-class business acumen and technology expertise to every interaction. We also drive cross-functional collaboration and are focused on delivering measurable business outcomes. The TDI DevProd Engineering team owns the foundational CI/CD platforms that power Okta’s business, spanning cloud infrastructure, delivery pipelines, and AI platform integration. We are a team of builders who design and operate at scale. Currently, we are in the middle of a strategic transformation: evolving our cloud practice from a self-service model into a managed, opinionated platform that the entire business can rely on for rapid, secure, and reliable software delivery The Opportunity : As a Senior Software Engineer for TDI DevProd Engineering, you will serve as the technical authority for how we design, build, and evolve the cloud infrastructure underpinning our AI platform and the broader workloads running across Okta. You will define the CI/CD architectural standards, GitOps patterns, and automation strategies that the DevProd team builds toward. In this role, you will be a key partner to AI, security, and productivity architects as we scale Okta's cloud capabilities to meet increasing business demand. This is a hands-on, high-impact builder role. We are looking for someone who has successfully shipped and scaled cloud in

pythonjavasql
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1mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As a Senior Site Reliability Engineer you will champion all things pertaining to reliability at Okta for Auth0. Working closely with the Product Engineers, Quality Engineers, Platform Engineers and Architecture teams, your primary focus will be on ensuring production systems remain operational at all times, while continually setting and achieving long-term performance, reliability and scalability goals in a platform with an exponential growth plan for the coming years. With Okta’s increased dedication to ensuring customer availability expectations are exceeded in every way, you will play a key role as we evolve our system architecture to meet the demands of enormous growth and support the hundreds of millions of users who rely on us to provide uninterrupted access to business-critical enterprise and consumer applications. Skills Exceptional communication skills, including technical writing in the English language Systematic problem-solving approach, coupled with a strong sense of ownership and drive Understanding of microservices, cloud infrastructure (AWS, Azure), databases (SQL, No-SQL, Key/Value), containers (docker, kubernetes), web technologies (web sockets, http) and networking (SSL, routing, VPN) Live and breathe SLIs, SLOs, error budgets and SLAs Strong belief in automating everything and reducing toil for yourself and teammates Loves to work as a team, but is able to work effectively in a remote environment where tasks may be self-driven Knowledge

sqlawsazure
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Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Device Identity and Access Organization The Device Identity and Access organization is at the forefront of Okta’s Zero Trust vision. As a foundational pillar within Okta Research and Development (ORD), our mission is to transform the device itself into a secure, trusted, and effortless identity factor. We are the teams responsible for ensuring users can seamlessly interact with their work from any endpoint, anywhere in the world. We engineer the end-to-end device experience—from our flagship FastPass , Okta Device Access (ODA), and Device Assurance . Our teams own the continuous authentication pipeline, device lifecycle management, and the sophisticated cloud services that analyze real-time trust and assurance signals to make frictionless, passwordless access a reality across Windows, macOS, iOS, Linux, and Android. Our organization is comprised of engineers who thrive at the intersection of deep client-side platform engineering and massive-scale distributed systems. The work we do secures millions of enterprise endpoints globally, prevents modern identity attacks, and fundamentally changes how people work by making world-class security completely invisible to the end user. Explore our culture and technical innovations on the Okta Engineering Blog . The Staff Software Engineer Opportunity We seek a dynamic and influential Staff Software Engineer to join our Device Authenticators engineering team. The ideal candidate will leverage their deep An

awsci/cdgit
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Okta
📍 Washington• Full-time• From $174K/yr
1mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Federal SRE Team We are looking for an experienced Staff Site Reliability Engineer to join Okta's Federal SRE team for the Emerging Products Group (EPG). Our mission is to build highly reliable, scalable, and secure cloud services that our customers can trust. We embrace an automation-first mindset and continuously invest in platform engineering, observability, and operational excellence to enable our engineering teams to move quickly and safely. The Staff SRE, Classified Opportunity This role is ideal for an engineer who enjoys solving complex technical challenges at scale, building automation, and improving the reliability of production systems. You will serve as a technical leader within the EPG SRE organization, partnering closely with software engineers, architects, and product teams to design, build, and operate world-class cloud services. The ideal candidate exemplifies the philosophy of "if you have to do it more than once, automate it" and possesses a strong passion for continuous improvement, operational excellence, and software engineering. Security Clearance: Active U.S. TS/SCI clearance with Full Scope Poly Compliance Expertise: Proven experience navigating Federal and DoD compliance frameworks, specifically FedRAMP and Impact Level 6 (IL6) What you’ll be doing: Reliability & Operations Design, build, and operate large-scale cloud infrastructure and production services. Participate in an on-call rotation supporting hi

pythonsqlpostgresql
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