Responsibilities:

• Feature Delivery (UI + API)
• Build responsive, accessible front-end UI components and pages.
• Develop backend REST/gRPC APIs, business logic, and data models.
• Ensure clear contracts between front-end and backend.

• Integration & Data Handling
• Implement CRUD flows, pagination, and state management.
• Integrate with authentication/authorization, telemetry/analytics, and storage systems.
• Consume external services: LLM endpoints, agent orchestration APIs, or RAG services (where applicable).

• Quality & Testing
• Write unit/integration/e2e tests for UI and backend.
• Add input validation, error handling, and observability hooks (logs/metrics/traces).
• Maintain type safety, and documentation for features.

• Performance & Reliability
• Optimize rendering, bundle size, and API latency; add caching and retries.
• Address N+1 queries, DB indexes, and query efficiency.
• Participate in on-call rotations or incident triage with guidance.

• DevOps & CI/CD Hygiene
• Contribute to build pipelines, environment configs, and deployment manifests.
• Containerize services (Docker) and follow branching/versioning best practices.
• Manage feature flags, configuration, and secrets safely.

• Collaboration & Communication
• Work with designers, product, QA/ and senior engineers.
• Provide clear status updates, capture decisions in ADR/design notes.
• Review peer PRs; accept feedback and iterate quickly.

Education and Experience Required:

• Bachelor's degree in computer science, engineering, data science, or closely related quantitative discipline. Master's degree is desirable.
• Typically, 4-7 years' experience.

Knowledge and Skills:

• Frameworks: React (preferred) / Angular ; modern hooks/patterns.
• UI/UX: HTML5, CSS3/Sass, Tailwind/Material; accessibility (a11y), responsive design.
• Languages/Frameworks: Python (FastAPI/Flask) or Node.js (Express/NestJS);
• APIs: REST/gRPC; pagination, filtering, versioning, OpenAPI/Swagger.
• Data: SQL (Postgres/MySQL) and NoSQL (Mongo/Redis); ORMs (SQLAlchemy/Prisma).
• Testing: pytest/Jest; integration and contract tests.
• Containers: Docker basics; compose; image optimization.
• CI/CD: GitHub Actions/Azure DevOps; pipelines, artifacts, environments.
• Cloud: Familiarity with cloud services (AWS/Azure/GCP) and environments.
• Observability: Logs/metrics/traces; dashboarding; alerting fundamentals
• AI-Integration (Nice-to-Have for AI Apps)
• Consume LLM/agent APIs; handle token/latency/cost controls.
• Work with RAG services (vector search endpoints); understand request/response patterns.
• Implement prompt/response logging and guardrails integration (basic filters).

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The mission of Cybersecurity R&D is to collaborate across functions to build and sustain secure routers, switches, and firewalls running Junos OS and Junos OS Evolved.

Responsibilities:

• Support security certifications including NIST FIPS 140, Common Criteria, and the European Union Cybersecurity Resilience Act (EUCRA)
• Drive the development and enhancement of product security capabilities including certification gap analysis, risk-based threat modelling, static analysis of code, dynamic analysis of running network devices, penetration testing, hardware security assessments, and AI-enhanced vulnerability management
• Continually identify and evaluate new cybersecurity technologies and innovations that benefit product security posture and processes; work with other senior technical leaders and management to build out the cybersecurity roadmap, and then lead hands-on execution of the roadmap
• Leverage recognized domain expertise and experience to influence decisions of key stakeholders including executives, engineering managers, platform teams, product line managers, and customers
• Provide guidance and mentoring to less-experienced staff members; bootstrap excellence in cybersecurity design and development

Education and Experience Required:

• Bachelor's or Master's degree in Computer Science, Cybersecurity, or adjacent technical field of study
• Typically 10+ years experience

Knowledge and Skills:

• Deep knowledge of the art and science of cybersecurity
• Ability to improvise, adapt, and overcome in the face of quickly evolving cybersecurity challenges and strategies
• Strong knowledge of networking, networking security protocols (TLS, SSH, IPsec), and cryptography as built into networking
• Significant experience working in one or more programming languages: C preferred, Python; bonus points for Rust
• Working experience driving product security certifications -- FIPS 140 and Common Criteria – from gap analysis, to product preparation, to pre-testing, to submission to third-party labs, to certificate award; ability to quickly ramp on EU CRA
• Working experience in harnessing AI systems for defensive security purposes including vulnerability discovery and management; understands the importance of AI governances and keeping the human-in-the-loop
• Strong technical communication skills both verbal and written; ability to explain, persuade, and evangelize

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The Senior AI Engineer owns end-to-end delivery of AI features,from design to production,while raising the engineering bar through code quality, reliability, and mentoring. The engineer will convert architecture into robust implementations, proactively manage risks, and ensure observable, secure, and performant AI systems.

Responsibilities:

• Solution Engineering & Delivery:
• Translate high-level designs into clear component contracts, APIs, and service boundaries.
• Implement LLM integrations, RAG pipelines, agents, tool/function calling, and prompt strategies.
• Own feature delivery for sprints/releases; maintain high code quality and documentation.

• Modeling & Evaluation:
• Fine-tune models when needed; design evaluation harnesses and metrics.
• Build A/B testing setups; track accuracy, latency, robustness, and task success rates.
• Conduct error analysis; iterate using feedback efficacy loops and prompt refinement.

• Data & Retrieval Engineering:
• Build ETL/ELT pipelines; curate datasets with metadata, lineage, and validation.
• Implement vector indexing (chunking, embeddings, reranking), tune chunk size & overlap.

• MLOps & Platform Readiness:
• Containerize workloads (Docker); orchestrate deployments (Kubernetes/Helm).
• Own CI/CD for ML: train → evaluate → package → deploy → monitor → rollback.
• Maintain model/agent registries, experiment tracking, and reproducible environments.

• Software Engineering & Integration:
• Build microservices and async inference paths; support batch/stream processing.
• Integrate with enterprise auth, observability, telemetry, and logging.
• Write unit/integration/e2e tests, performance benchmarks, and failure-injection tests.

• Observability, Reliability & Performance:
• Instrument with metrics/logs/traces; define SLOs (latency, throughput, error rate).
• Optimize inference: batching, caching (KV cache), quantization, token efficiency.
• Implement guardrails (safety filters, jailbreak detection), auto-evals and alerts.

• Security & Compliance:
• Apply secure coding practices; manage secrets, encryption, and least privilege.
• Enforce policy-based access and content safety in user-facing features.

• Collaboration & Mentoring:
• Review designs/PRs; coach L3 engineers on best practices.
• Coordinate with AI Architects, Data Engineers, QA, and Product.

Education and Experience Required:

• Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline.
• Typically, 7-10 years’ experience.

Knowledge and Skills:

• LLMs & Agents: Prompt engineering, function/tool calling, orchestration frameworks, RAG.
• ML/DS: Evaluation metrics (precision/recall, BLEU/ROUGE where relevant), error analysis.
• Data/RAG: Embeddings, similarity (cosine/IP), chunking, rerankers, vector DB operations.
• Backend: Python (FastAPI/Flask), microservices patterns.
• MLOps/Infra: Docker, Kubernetes, CI/CD, artifact management, GPU scheduling.
• Observability: Metrics/logging/tracing, dashboards, automated evaluation pipelines.
• Frameworks: PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex.
• Data: Pandas, SQL/NoSQL, Parquet/Arrow, Kafka/queues.
• Vector DBs: FAISS, Milvus, pgvector, Pinecone, Weaviate.
• Ops: GitHub Actions/Azure DevOps, MLFlow/W&B

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Responsibilities

• Develop and maintain Linux kernel, platform, and infrastructure software.
• Debug and resolve complex bugs, security vulnerabilities, and integration issues across the software stack.
• Build and maintain Yocto-based distributions, including layers, recipes, packaging, and backports.
• Enable new hardware platforms and support BSP development.
• Improve system performance, automation, testing, and developer productivity.
• Collaborate across hardware, platform, and software teams to deliver production-quality solutions.

Requirements

• Strong low-level systems programming in C/C++.
• Deep understanding of Linux kernel internals, OS fundamentals, data structures, and algorithms.
• Experience debugging and maintaining Linux kernel and user-space components.
• Strong Yocto Project expertise, including layer management, recipe development, backporting, and package integration.
• Strong understanding of compiler optimizations, C/C++ undefined behavior, memory models, and how modern compilers leverage these assumptions for optimization.
• Experience with x86/ARM systems, BSP development, and hardware bring-up.
• Hands-on knowledge of PCIe, SPI, I2C, GPIO, MDIO, and interrupt handling.
• Strong problem-solving, debugging, and collaboration skills.

Benefits

• Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing.
• Investment in your career through specific programs to help you reach your career goals.
• Unconditional inclusion and celebration of individual uniqueness.

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As a Staff Software Engineer, you will play a key role in designing, building, and optimizing cloud infrastructure and deployment systems. Your work will directly impact scalability, security, and operational efficiency across our platforms.

Key responsibilities include:

• Enhance Infrastructure as Code (IAC) and enforce best practices.
• Optimize cloud infrastructure for scalability, security, and cost-effectiveness.
• Develop internal tools to support and streamline cloud platform operations.
• Improve CI/CD pipelines and deployment workflows using FluxCD and Jenkins.
• Address container image vulnerabilities and standardize remediation processes.
• Build Amazon Machine Images (AMIs) aligned with CIS and STIG benchmarks.
• Strengthen monitoring, alerting, and observability using Prometheus, Grafana, and logging tools.
• Troubleshoot complex production issues to ensure system reliability and customer satisfaction.
• Fine-tune distributed systems such as Apache Kafka and Cassandra.
• Collaborate with development, security, and operations teams to align infrastructure with application needs.

Requirements:

• Minimum of 6 years of hands-on experience in Infra Ops, Dev Ops, or Site Reliability Engineering (SRE).
• Proficiency with Linux systems, especially Debian-based distributions.
• Strong experience with cloud platforms such as AWS and GCP.
• Expertise in Infrastructure as Code tools like Terraform, Packer, and Ansible.
• Solid programming skills in Python and/or Golang.
• Deep understanding of containerization (Docker, Container) and orchestration tools (AWS EKS, GCP GKE).
• Experience with GitOps workflows.
• Proven track record in implementing and maintaining CI/CD pipelines.
• Strong background in security and familiarity with security programs.
• Experience with monitoring and logging tools (Prometheus, Grafana, ELK).
• Knowledge of both relational (SQL) and non-relational databases.
• Excellent problem-solving and debugging skills with a strong sense of ownership.
• Experience managing distributed systems like Apache Kafka and Cassandra.
• Effective communicator and collaborative team player.

Benefits:

• Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.
• Investment in career development and growth.
• Unconditional inclusion and flexible work arrangements.

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Responsibilities:

• Build and lead a team of individual contributors making substantive contributions in security certification readiness, operational EUCRA support, developing security features and test harnesses, and AI-driven defense.
• Exert dynamic leadership in the face of rapidly changing and emergent product security requirements and threats.
• Collaborate closely with peer managers and teams in the planning and execution of cybersecurity projects across geographies.
• Manage headcount, deliverables, schedules, and costs for multiple ongoing projects.
• Communicate project status across stakeholders, with clean escalations when necessary.
• Continually drive process improvement and corresponding cost reduction opportunities.
• Provide people-care management for assigned team members, including hiring, setting and monitoring of annual performance plans, coaching, and career development.

Education and Experience Required:

• First-level university degree or equivalent experience required.
• Typically 5 or more years of related work experience, 1-2 years of people management experience.

Knowledge and Skills:

• Broad knowledge and capability to quickly go deep in cybersecurity, networking, network products (routers, switches, firewalls), networking operating systems, and software engineering.
• Agile leadership skills, including coaching, team-building, and conflict resolution.
• Strong analytical and technical problem-solving skills.
• Strong verbal and written communication skills, including negotiation, presentation, and influence skills.

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Responsibilities:

• Develop and maintain the enterprise Cybersecurity Third-Party Risk Management (TPRM) strategy and operating model.
• Define and continuously improve third-party risk-based frameworks, methodologies, standards, and procedures for managing third-party cybersecurity risk.
• Lead the evolution of vendor criticality, inherent risk, residual risk, and due diligence frameworks.
• Identify opportunities to streamline, automate, and optimize TPRM processes to improve scalability, efficiency, and user experience.
• Partner with Procurement, Legal, Compliance, Privacy, Supply Chain, IT, and business stakeholders to align TPRM processes with business objectives and regulatory requirements.
• Establish metrics, KPIs, and reporting frameworks to measure program effectiveness, risk exposure, and operational performance.
• Provide thought leadership on emerging risks, including supply chain security, software supply chain risk, cloud providers, AI-related risks, and operational resilience.
• Lead assessments of TPRM tools and technology solutions and drive automation and workflow improvements.
• Develop executive-level reporting and presentations to communicate program maturity, risks, and strategic initiatives.
• Support enterprise-wide initiatives related to regulatory compliance, cybersecurity governance, and operational resilience.
• Provide guidance and mentoring to less-experienced staff members.

Education and Experience Required:

• Bachelor's or Master's degree in Engineering, Computer Science, Information Security or equivalent.
• Typically 6-10 years experience.
• Security Certifications: preferred - CISSP (other CRISC, CISM, etc.)

Knowledge and Skills:

• Demonstrated experience and in-depth knowledge in designing or managing TPRM programs, frameworks, and governance models.
• Solid knowledge and demonstrated experience of Cyber and IT security risks, threats, and prevention measures.
• Strong knowledge of cybersecurity and risk management frameworks such as NIST CSF, NIST 800-53, ISO 27001, and industry best practices.
• Knowledge and experience of security fundamentals and technologies.
• Experience translating regulatory and security requirements into scalable policies, standards, and operational processes.
• Experience leading strategic initiatives, process transformation, and organizational change.
• Industry certifications such as CISSP, CISM, CRISC, CISA, or equivalent.
• Experience implementing or optimizing TPRM or GRC platforms (OneTrust, Archer, ServiceNow, etc.).
• Strong analytical, communication, stakeholder management, and executive presentation skills.
• Excellent written and verbal communication skills; mastery in English.

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