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Senior/Staff Site Reliability Engineer

Location: Fremont Area (hybrid)

Type: Full-time

Reports To: Head of Software

About the Company:

Work with a venture-funded startup led by experienced entrepreneurs with a track record of building successful healthcare technology companies. Our mission is to transform healthcare delivery through Physical AI-combining advanced AI intelligence with next-generation robotics.

What Sets Us Apart:

• Proven Leadership: Founded by serial entrepreneurs with previous 9-figure exits.
• Strong Funding: Well-capitalized with backing from top-tier investors.
• Clear Market Need: Tackling validated, high-impact problems in healthcare delivery.
• Technical Moat: Building proprietary technology that is extremely difficult to replicate.
• Stealth Advantage: Perfecting our technology in stealth mode before broader market entry.

This is a foundational hire. You own the infrastructure that a pharmacy robot fleet runs on — and you set the standard for how infrastructure is built. Engineers write application code; you make sure it deploys reliably, scales correctly, stays secure, and is observable in production.

You don't write dispense logic. You own the platform it runs on: Terraform, CI/CD, deployment automation, security scanning, observability, certificate management, and the production environment that must pass a mandated penetration test. You write code to solve infrastructure problems, not just configure tools.

• 3+ years Terraform / IaC — Production modules, state management, multi- environment promotion.
• AWS deep — VPC, ECS, RDS, IAM, KMS, SQS, CloudWatch. You understand the security model.
• CI/CD — GitHub Actions or equivalent. Pipeline-as-code, caching, deployment gates.
• Docker — Multi-stage builds, image optimization, production deployment.
• Linux — System administration, troubleshooting, performance analysis

You must be a US citizen or Green card holder to be applicable for this role.

If interested please reach out to to .

Position Summary

Our client is building a modern, cloud-native platform that powers connected, data-driven manufacturing operations. Their technology sits at the center of increasingly automated factories, integrating equipment, software systems, and real-time production data into a scalable SaaS platform used by global manufacturers.

To support rapid growth and platform scale, they are seeking a Senior Cloud Operations Engineer to own the reliability, performance, and operational excellence of their cloud infrastructure. This is a highly impactful role responsible for ensuring the platform remains highly available, secure, and scalable as adoption continues to grow.

This position is ideal for engineers who thrive in modern cloud environments, enjoy solving complex reliability challenges, and prefer automating everything possible. The right person will combine deep technical expertise with strong operational discipline, helping build a world-class cloud platform supporting real industrial environments.

Key Responsibilities

Cloud Operations & Reliability

• Maintain and optimize production, staging, and development environments running in Kubernetes on AWS

• Implement and manage monitoring, logging, alerting, and observability frameworks

• Lead incident response efforts and drive post-incident reviews focused on continuous improvement

• Own backup, disaster recovery, and business continuity processes

• Perform system capacity planning and performance tuning

Automation & Infrastructure Management

• Build and maintain Infrastructure-as-Code using tools such as Terraform or Pulumi

• Automate provisioning, configuration management, and environment lifecycle processes

• Identify and eliminate operational inefficiencies through automation

• Manage secrets, environment configuration, and version control across infrastructure environments

Security & Compliance

• Implement and maintain least-privilege access models and cloud security guardrails

• Support vulnerability management, patching workflows, and dependency maintenance

• Assist with compliance readiness efforts including SOC 2, ISO 27001, or similar frameworks

• Ensure proper logging, retention, and audit practices across cloud environments

FinOps / Cost Optimization

• Monitor and optimize cloud spend across services and environments

• Implement tagging standards, budget alerts, and cost visibility frameworks

• Recommend architectural improvements to balance performance and cost efficiency

Collaboration & Leadership

• Partner closely with engineering teams to improve reliability, deployment pipelines, and system architecture

• Mentor engineers on operational best practices and cloud platform management

• Develop runbooks, documentation, and operational standards

• Champion reliability engineering principles, operational maturity, and risk reduction practices

Technical Environment

Candidates should be comfortable working in modern cloud-native environments and familiar with:

• Kubernetes clusters, autoscaling, Helm charts, and service mesh concepts

• AWS cloud services including compute, networking, storage, and cost management

• Infrastructure-as-Code frameworks such as Terraform

• Observability platforms such as Datadog, CloudWatch, Prometheus, or New Relic

• CI/CD tools such as GitHub Actions, Bitbucket Pipelines, or Bamboo

• Linux systems administration and troubleshooting

• SRE practices including SLIs, SLOs, MTTR, RTO/RPO, and incident management

DevOps Architect

Los Angeles, CA - Onsite (Day 1)

Long Term Contract

Skills Required:

• AWS & GCP
• Docker & Kubernetes
• Pulumi

Job Description

We are seeking a highly skilled Senior DevOps Architect with deep expertise across multi‐cloud environments and modern DevOps tooling. The ideal candidate is an SME with strong hands‐on experience building, automating, deploying, and optimizing infrastructure at scale.

Key Responsibilities

• Serve as a DevOps SME with 8+ years of multi‐cloud experience, including AWS, GCP, and hypervisor frameworks.
• Expertise in managed cloud services such as Lambda, Cloud Functions, S3 (large volumes), Elasticsearch, Step Functions, DynamoDB, Aurora, and other RDS services.
• Strong background in Docker-based container platforms and CI/CD workflows.
• Advanced scripting and automation capabilities with Terraform, IaC, and Pulumi.
• Ability to write reusable modules and infrastructure code (Python preferred).
• Strong SQL skills and understanding of relational and non-relational databases; proficiency in database tuning.
• Experience working with multiple build systems: npm, Maven, Poetry, Mono, ReactJS, VueKit.
• Proficient in all aspects of Kubernetes, including deployment automation using Helm and Kustomize.
• Ability to understand APIs, create reusable CI/CD modules, and document work in GitHub.
• Experience leading offshore DevOps/System Engineers and enforcing IaC adoption.
• Collaborate with AWS, GCP, Apple Cloud/Hybrid Cloud teams to troubleshoot 3PC issues.
• Skilled in observability tooling, incident management, and performance optimization.
• Strong knowledge of networking (DNS, load balancers, VPNs, VPCs, firewalls, access control).
• Experience building modules using Terraform, AWS CDK, or Pulumi.
• Knowledge of Java is a plus.

Must Have Qualifications

• Proven leadership and mentoring experience.
• Deep understanding of security best practices, vulnerability mitigation, and risk management.
• Performance tuning and optimization expertise.
• Experience with disaster recovery and backup strategies.
• Strong experience in hybrid cloud environments.

Role - Contact center engineer - Five9

Location : Phoenix, AZ (Onsite)

JD:

8+ years of commercial software development experience

Design and implement scalable Caas and IVA solutions leveraging Google Cloud and Google CX

(Dialoglow CX), including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, speech-to-text/text-to-speech, and seamless integration with Five and enterprise systems.

* Architect secure, resilient cloud infrastructure on GCP using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery, implementing IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.

* Architect, implement, and optimize Five CRaas solutions, including ACD, skills-based routing, dialer, omnichannel capabilities, and campaign management, ensuring scalable, secure, and compliant contact center operations.

* Lead integrations and migrations leveraging Five APls and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WeRTC, security configuration (RAC, PCI/HIPAA), and transition from legacy contact center platforms to Five.

* Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/D pipeline. DevOps and Observability.

* Experience with automated release management using GitHub Actions.

* Experience in Architecture design and modeling should possess strong skills in designing and modeling complex systems and architectures.

* Good understanding of data structures, algorithms, and design patterns

* Great written communication and documentation abilities

* Strong understanding of cloud security architecture and Encryption and OAth.

* Looks proactively beyond the obvious for continuous improvement opportunities.

* Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.

* Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.

Looking for a 10+ years of experience in full stack software development, including front-end, back-end, and database technologies in Bothell, WA and its an onsite role.

• Bachelor’s degree in computer science, software engineering, or a related field preferred
• Proficiency in modern programming languages and frameworks such as Python, JavaScript, Java, Next JS, Node.js, React js
• Strong working experience with GenAI, LLM Models, MCP, Vector DB, RAG, Vertex AI, Agentic AI frameworks like NGA, ADK or LangChain/LangGraph, creating AI agents.
• Strong experience with Cloud platforms like GCP, Azure or AWS and cloud technologies like OpenStack, Terraform, Ansible or Chef
• Experience working with LLM observability, analytics, evaluations, testing and annotation using tools like LangSmith, LangFuse, Streamlit, Arize or similar tools.
• Strong experience working with AI/ML development
• Strong experience working with Databases like Cassandra, MongoDB or similar.
• Strong understanding and working experience of microservices architecture, RESTful APIs, Caching and related technologies
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes
• Proficiency in version control systems like Git, and experience with CI/CD tools such as Jenkins, GitHub, Maven, Nexus, JFrog or Sonar
• Strong experience in Unit and Function testing using Junit, Mockito/JMock, Selenium, Robot, Cucumber, SoapUI or Postman
• Strong problem-solving, analytical, and debugging skills.
• Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
• Demonstrated experience in mentoring and providing technical leadership to other engineers.

• Nice to have skills:
• Google CCAI platform (DialogFlow), Vertex AI, Graph QL, BigQuery, Conversation Graph, LLM as Judge

Position: Infra Maintenance- VMWare Consultant

Location: San Jose, CA (Hybrid)

Employment: Contract

Required Skills:

• Strong hands-on experience in deployment and troubleshooting of VMware vSphere (must-have).
• Practical experience managing ESXi hosts, clusters, storage, and virtual networking.
• Working knowledge of Kubernetes concepts (nodes, pods, services, namespaces, ingress, storage, RBAC).
• Experience installing and operating Kubernetes clusters on bare metal or virtualized environments.
• Experience with Canonical MAAS for bare-metal provisioning, commissioning, and deployment workflows.
• Hands-on experience with Cisco switch configuration (CLI-based).
• Solid understanding of L2/L3 networking concepts:
• VLANs, trunking, STP
• Static routing, basic dynamic routing concepts
• Subnetting, routing tables, ACLs, NAT basics
• Strong experience with Linux administration (Ubuntu/CentOS/RHEL or similar).
• Hands-on experience with Terraform and/or Ansible
• Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps) for automated infra and application deployments.
• Understanding of version control (Git) and standard branching/PR workflows.

CAS uses intuitive technology, unparalleled scientific content and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for 115 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make scientific insights accessible to innovators worldwide.

CAS is currently seeking a Software Engineer. This position will be located in our headquarters in Columbus, Ohio.

Job Summary:

In this role, you will design, build, and deploy software applications, services, and systems that advance the scientific capabilities of CAS Custom Services, offering expert scientific knowledge management consulting and custom informatics solutions. As a member of an Agile team, you will work closely with product owners and teammates to refine backlogs, groom epics and user stories, and prepare for upcoming sprints. Success in this role requires a strong understanding of project processes, the ability to collaborate effectively, and a proactive approach to solving technical challenges.

Job Duties:

Software Development

• Design, develop, and enhance complex software applications, services, and systems across multiple Agile delivery teams, applying advanced engineering principles to deliver high‑quality CAS products and solutions.
• Exercise independent technical judgment to evaluate requirements, propose architectures, and implement scalable, maintainable code aligned with organizational standards and emerging best practices.

Backlog & Sprint Collaboration

• Partner strategically with product owners and cross‑functional teammates to refine and prioritize, ensuring clarity of scope, feasibility, and alignment with broader product roadmaps.
• Leverage domain expertise to influence backlog quality, identify dependencies, mitigate risks, and shape sprint deliverables that advance product and organizational objectives.

DevOps, Automation, and Engineering Excellence

• Champion modern engineering practices by advancing automated testing frameworks, continuous integration/continuous delivery (CI/CD), and robust change‑control methodologies.
• Identify and implement opportunities for process optimization, proactively improving reliability, efficiency, and speed of delivery across the development lifecycle.

Cross-Functional Engagement & Influence

• Build influential relationships with stakeholders across CAS to align technical execution with business needs, resolve cross‑team challenges, and accelerate shared outcomes.
• Serve as a trusted technical partner, contributing expertise, anticipating impacts, and ensuring solutions integrate effectively across functions.

Continuous Learning & Technology Foresight

• Stay ahead of emerging technologies and industry trends, proactively assessing their application to CAS solutions and influencing team adoption of modern tools, patterns, and practices.
• Engage in ongoing professional development through formal training and peer collaboration, contributing to a culture of knowledge sharing and technical excellence.

Qualifications:

• Bachelor’s degree: Computer science or engineering, or equivalent experience.
• 8+ years of software development and application delivery experience
• Coursework or familiarity with chemistry preferred
• Strategic thinking and strong communication and interpersonal skills. Strong team player with team spirit. Able to communicate effectively across all levels of management in a highly matrixed and/or agile environment.
• Experience in leadership roles on application delivery teams
• Demonstrated passion for coding, learning, and improving craftsmanship
• Willingness to develop cross-functional skills to support the Agile team’s needs
• Demonstrated self-motivation and initiative. Able to motivate team members to be creative and efficient .
• Ability to work independently and within a matrix organization.
• Ability to build relationships and influence others.

Technical Experience

• Java and Python development
• Spark and Scala
• Docker and Kubernetes
• Linux command line proficiency
• Experience with public cloud environments (AWS preferred)
• JavaScript/TypeScript web development and popular frameworks, i.e. React
• NoSQL databases (MarkLogic strongly preferred)
• Infrastructure as Code (Terraform and/or AWS CDK)
• CI/CD tools (Jenkins or GitLab)
• MCP or Agentic AI frameworks
• AI coding assistants (Claude Code, GitHub Copilot)
• Common development tools, i.e. VS Code, Intellij IDEA, etc.

CAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Disabled/Veteran

About the Role

We are seeking a Backend Engineer to help build and maintain the backend services and API’s that power our proprietary AI SaaS CRM and LMS platforms.

You will work directly with our CTO, collaborate with the engineering team, and partner closely with our Product Manager to design, implement, and maintain scalable backend systems.

Our backend services are built primarily with:

• NestJS (TypeScript)
• Python
• Deployed across multiple AWS environments

This is a hands-on backend engineering role focused on API development, cloud deployment, distributed systems, and production-grade reliability.The role has meaningful ownership - not just ticket execution.

What You’ll Do

• Work directly with the CTO on backend design and implementation decisions
• Partner closely with a Product Manager on sprint planning, backlog grooming, translating product requirements into technical solutions, and prioritizing customer-impacting improvements
• Design, build, and maintain backend API services using NestJS (TypeScript)
• Build and support backend services in Python
• Develop and maintain production-grade RESTful APIs
• Contribute to multi-environment deployments across AWS
• Use Terraform to manage our IAC
• Work with CI/CD workflows and structured deployment procedures
• Follow and contribute to engineering documentation including development guidelines, environment configuration standards, security practices, and versioning and changelog management
• Implement and support asynchronous and event-driven systems
• Write clean, maintainable, well-tested code
• Participate in code reviews and maintain high engineering standards
• Debug and resolve production issues across distributed cloud environments

What We’re Looking For (Required)

• 5+ years of backend engineering experience
• Strong proficiency in TypeScript and experience with NestJS
• Strong proficiency in Python
• Experience designing and implementing RESTful APIs
• Experience deploying and maintaining applications in AWS
• Familiarity with multi-environment deployments (dev, staging,UAT, production)
• Experience working with CI/CD pipelines
• Experience with relational databases (PostgreSQL)
• Familiarity with Docker or containerized workflows
• Experience working in GitHub-based workflows in a collaborative environment (pull requests, code reviews, branching strategies, and issue tracking)
• Comfortable working in an agile environment with JIRA and Monday
• Strong communication and problem-solving skills
• Experience building SaaS or multi-tenant platforms

Nice to Have / Strong Plus

• Familiarity with C# & C++
• Experience with Dentrix, OpenDental, or other dental integration PMS’s
• Experience building a greenfield SaaS or B2B software
• Experience with building on a Healthcare platform
• Familiarity with AI-enabled products or LLM integrations
• Experience with Redis or caching strategies
• Experience integrating third-party APIs

Why This Role Is Different

• Direct collaboration with the CTO on backend system design
• Close partnership with Product Management
• Opportunity to help shape a modern, AI SaaS platform for the healthcare industry

Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!

The Role:

Launch is actively seeking a visionary Solutions Architect / Principal Software Engineering Lead (AI) to design and deliver modern engineering and applied AI solutions across client engagements. This role blends deep hands‑on engineering, architectural leadership, AI system design, and client advisory. You will operate across system design, production‑grade engineering, multi‑agent architectures, cloud platform strategy, and the development of Launch’s AI practice.

Responsibilities Include:

Architecture & Technical Strategy

• Define the technical direction for client engagements end-to-end: discovery, design, build, and production hardening.
• Assess client technology ecosystems and identify high-impact opportunities for AI/ML integration.
• Lead architecture reviews, design sessions, and technology selection across cross-functional stakeholder groups.
• Translate ambiguous business problems into concrete engineering plans with clear scope, milestones, and risk callouts.

AI Engineering & Delivery

• Architect production agentic systems including multi-agent orchestration, agent harnesses, skill/tool composition, human-in-the-loop checkpoints, and inter-agent communication protocols (e.g., A2A, MCP).
• Build and govern MCP server ecosystems: design, deploy, and secure Model Context Protocol integrations connecting AI agents to enterprise data sources, internal APIs, and third-party platforms.
• Define agent skill and capability frameworks including reusable skill libraries, prompt engineering standards, and evaluation harnesses for consistent agent behavior across engagements.
• Architect RAG pipelines, fine-tuning workflows, and model lifecycle infrastructure (training, serving, experiment tracking) as foundational components of agentic systems.
• Integrate AI platforms and APIs (Azure OpenAI, Amazon Bedrock, Anthropic, Vertex AI) into production systems with enterprise-grade reliability, cost governance, and observability.
• Establish AI-native development practices: embed tools such as Claude Code, Cursor, and GitHub Copilot into team workflows with standards for AI-assisted code review, test generation, and documentation.
• Design evaluation and observability infrastructure including LLM eval frameworks, red-teaming, behavioral drift detection, and production monitoring across tool call chains, latency, and failure modes.
• Apply responsible AI governance: define guardrails, access controls, and audit patterns for agentic workflows in enterprise environments including scope containment and escalation paths.

Hands-On Engineering

• Write production code and lead by example — this role requires someone who is still close to the code.
• Design cloud-native architectures across multiple hyperscalers (AWS and Azure primarily) microservices, event-driven systems, serverless, and containerized workloads.
• Define and implement infrastructure-as-code using tools such as Terraform, Pulumi, CloudFormation, or Bicep.
• Design and optimize CI/CD pipelines, GitOps workflows, and container orchestration using Docker and Kubernetes.
• Establish observability and reliability practices using tools such as Datadog, Prometheus, Grafana, CloudWatch, or Azure Monitor.
• Drive security-by-design across the delivery lifecycle including IAM, network architecture, secrets management, and compliance automation.

Leadership & Client Advisory

• Lead engineering teams ranging from small squads to 10+ person delivery teams, scaling leadership approach to the needs of each engagement.
• Mentor and develop engineers at all levels through code reviews, pairing, and design coaching.
• Operate as a trusted advisor to client technical leadership and executive stakeholders. Communicate trade-offs clearly and build confidence.
• Influence without direct authority — driving alignment across cross-functional teams through technical credibility and stakeholder management.
• Lead discovery and requirements elicitation, surfacing the underlying business need beyond the stated request.
• Produce clear written artifacts: technical proposals, architecture decision records, SOWs, and executive-level status communication.
• Grow client relationships and identify follow-on opportunities through proposal contributions and delivery-driven account expansion.
• Contribute to Launch's growth — practice development, thought leadership, and hiring.

Qualifications:

Must-Haves:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 10+ years in software engineering with demonstrated experience in architecture and technical leadership roles.
• 3+ years hands-on with AI/ML in production. Broad fluency across generative AI (LLMs, RAG, fine-tuning, agents), MLOps (model serving, pipelines, experiment tracking), and AI-integrated product development.
• Consulting or client-facing delivery experience with a proven ability to integrate into client organizations and establish credibility with technical and executive stakeholders.
• Full-stack engineering capability across frontend, backend, infrastructure, and data layers. Proficiency in multiple modern languages (e.g., Python, TypeScript/Node.js, C#/.NET, Java, or Go) with the ability to move between them as engagements require.
• Multi-hyperscaler depth across AWS and Azure, including their respective AI/ML service ecosystems (Bedrock, SageMaker, Azure OpenAI, Azure ML). GCP experience is a plus.
• Strong fundamentals in distributed systems, event-driven architecture, API design, and DevOps/platform engineering.
• Experience leading engineering teams in agile delivery environments.
• Business acumen with the ability to connect architecture decisions to cost, timeline, and organizational impact.
• Executive presence and communication skills effective with both technical and non-technical audiences.
• Proven ability to operate in ambiguous environments and adapt to diverse client cultures.

Strong Differentiators

• Experience contributing to the development of AI engineering practices, reusable frameworks, or internal accelerators within a consulting or enterprise environment.
• Experience advising C-suite or VP-level stakeholders on AI strategy, investment prioritization, and organizational readiness.
• Depth with agentic AI frameworks (LangChain, LangGraph, LangSmith, LlamaIndex, Semantic Kernel, CrewAI) and emerging standards like MCP (Model Context Protocol).
• Experience with enterprise data platforms (Databricks, Snowflake, BigQuery) in the context of AI/ML workloads.
• Cloud architecture certifications across AWS and Azure (AWS SA Professional, Azure Solutions Architect Expert).
• Published writing, open-source contributions, or conference speaking that demonstrates thought leadership in AI or software architecture.
• Domain depth in industries such as healthcare, financial services, retail, or public sector.

Compensation & Benefits:

As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $190,000 to $230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Business Area:

Seniority Level:

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

The Product Security group ensures our platforms are secure by design and compliant with the world's most rigorous industry and government standards. As a Staff Product Security Engineer, you will serve as a technical architect of trust and the primary connective tissue between Security, Product, and Engineering teams. You will be responsible for translating complex global security requirements into actionable, automated engineering solutions, acting as the "go-to" expert for the Security Features team.

As a senior technical member of the team, you will exercise significant latitude in defining technical objectives and architectural approaches to complex challenges. Leveraging a deep understanding of distributed systems and cloud-native platforms, you will lead high-impact, security-driven initiatives across the entire Cloudera product suite.

As a Staff Software Engineer, you will:

• Architect and maintain advanced build tooling to automate and accelerate vulnerability remediation across all engineering pillars.

• Lead Proof of Concepts (POCs) and evaluate third-party security tools to enhance our security posture without compromising developer velocity.

• Design and develop core security features, including FIPS compliance, TLS/Encryption, Secrets Rotation, Identity & Access Management (IAM), and Certificate Management.

• Drive root-cause analysis and triage for complex, product-wide stability issues related to security infrastructure.

• Engineer specialized observability tools, such as encryption inventories, to audit and measure security standards during feature delivery.

• Author comprehensive design specifications and test plans for cross-component security features, providing technical clarity in the face of ambiguity.

• Elevate the team's technical bar through high-quality code reviews, documentation standards, and active mentorship of engineering talent.

• Partner across organizational lines, collaborating with internal stakeholders and senior management to resolve customer escalations and align with long-term objectives.

We're excited about you if you have (Required Qualifications):

• Bachelor's degree in Computer Science or a related field (or equivalent experience) with 6+ years of professional software engineering experience.

• Deep technical expertise in containerized environments, specifically Kubernetes (EKS) and Docker.

• Strong command of general-purpose and scripting languages, including Java, Python, Go, and Bash.

• Proven experience with Infrastructure-as-Code (IaC) tools such as Terraform and Helm to automate secure infrastructure rollouts.

• Expert-level experience automating complex CI/CD pipelines using platforms such as GitLab CI/CD, Jenkins, or GitHub Actions.

• Exceptional troubleshooting skills with a track record of identifying root causes for site outages and resolving P1 escalations.

You may also have (Preferred Qualifications):

• Experience with Post-Quantum Cryptography to support upcoming product transitions.

• Practical experience with FIPS 140-3, TLS 1.3, and modern encryption standards.

• Proven ability to automate CVE remediation and integrate SAST/DAST scanning tools-such as Trivy, Aquasec, Tenable, or Fortify-into developer workflows.

• Familiarity with government compliance frameworks and industry standards including FedRAMP, ISO 27001, and SOC 2.

• Deep understanding of secure coding practices and common vulnerabilities as outlined in the OWASP Top 10.

• Experience working with Identity and Access Management (IAM) or Identity Governance platforms.

• Strong management skills with a demonstrated ability to influence cross-functional teams and drive results in a remote environment.

This role is not eligible for immigration sponsorship

What you can expect from us:

• Generous PTO Policy

• Support work life balance with Unplugged Days

• Flexible WFH Policy

• Mental & Physical Wellness programs

• Phone and Internet Reimbursement program

• Access to Continued Career Development

• Comprehensive Benefits and Competitive Packages

• Paid Volunteer Time

• Employee Resource Groups

EEO/VEVRAA

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