WHO WE ARE:   

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

ABOUT THE ROLE: Staff Engineer – Product Security 

As a Staff Engineer – Product Security, you will play a critical role in safeguarding our cutting-edge products and driving security innovation in a dynamic, multi-cloud environment. You will collaborate closely with cross-functional teams to embed security into every stage of product development while staying ahead of evolving threats and industry best practices. This role requires deep expertise in cloud security — including cloud configuration reviews, cloud network security, and experience with CSPM/CNAPP tools — as well as the ability to drive security integration into modern DevOps pipelines. Additionally, you will be expected to effectively leverage AI in the security review workflow to increase accuracy, efficiency, and coverage. This is a mid-to-senior level role with significant influence over product security.  

 KEY RESPONSIBILITIES 

• Own security projects end-to-end – ensuring progress tracking, stakeholder alignment and measurable improvements to customer security posture.  

• Review the design, architecture, and implementation of Aviatrix products to ensure adherence to the highest security standards.  

• Write and present design proposals and tradeoff evaluations. 

• Apply AI effectively in the security review workflow (e.g., automated code analysis, threat detection, anomaly spotting, vulnerability triage) to improve efficiency and precision.  

• Conduct vulnerability scanning using multiple tools, automate result aggregation, triage findings, and provide customers with clear guidance and effective mitigation strategies to address security concerns, particularly related to CVEs and vulnerability management.  

• Utilize CSPM and CNAPP tools to monitor and enforce security best practices across multi-cloud environments.  

• Collaborate with engineering, product management, and DevOps teams to integrate security into all stages of the product development lifecycle.  

• Conduct threat modeling, secure code reviews, and penetration tests to identify vulnerabilities and recommend mitigations.  

• Ensure compliance with security and privacy best practices, including OWASP Top 10, GDPR, and evolving cryptographic standards.  
• Research and stay updated on the latest security trends, tools, and vulnerabilities to proactively protect Aviatrix products.  

QUALIFICATIONS 

• 6+ years of experience in product or application security engineering with a focus on secure design and implementation.  

• Proven ability to independently own and deliver projects with limited direction. 

• Proficiency in one or more programming languages: TypeScript, Python, GoLang, Java, or C/C++.  

• Extensive expertise in cloud security, including experience conducting cloud configuration reviews (AWS, Azure, GCP, Terraform, CloudFormation). 

• Strong understanding of cloud network security principles and best practices in one or more cloud environments (AWS, Azure, GCP).  

• Hands-on experience with CSPM/CNAPP tools for monitoring and compliance.  

• Deep understanding of cryptographic algorithms, protocols, and secure communication practices.  

• Extensive experience in threat modeling, secure code reviews, and penetration testing.  

• Familiarity with security compliance standards, including OWASP Top 10 and cryptographic guidelines.  

• Relevant certifications such as OSCP or OSWE are a plus. 

WHO WE ARE:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai.

ABOUT THE ROLE: Staff Cloud Test Engineer

Reporting to the Engineering organization, a Staff Cloud Test Engineer is a key technical contributor within Aviatrix's QA team in India. They design, develop, and execute performance and scalability tests for cloud networking products, ensuring they meet the highest standards of quality, reliability, and efficiency. They bring deep expertise in networking — particularly BGP and cloud networking across AWS, Azure, GCP, and OCI — and work alongside cross-functional engineering teams to diagnose issues, drive improvements, and maintain rigorous test documentation. They combine a strategic mindset with hands-on technical execution, and play a meaningful role in raising the bar for quality across Aviatrix's cloud networking platforms.

KEY RESPONSIBILITIES

• Design, develop, and execute performance and scalability tests for cloud networking products, ensuring they meet performance and reliability standards
• Use and enhance open-source tools such as iperf and ethr to measure and improve network performance, identifying potential bottlenecks
• Collaborate with cross-functional teams to diagnose and resolve complex network and performance-related issues
• Partner with engineering teams to implement network performance improvements based on test outcomes
• Create and maintain detailed test plans, documentation, and reports for performance testing to ensure transparency and continuous improvement
• Stay current with industry trends and advancements in cloud networking and testing tools, incorporating relevant practices into testing processes
• Contribute to a culture of quality by sharing knowledge, supporting peers, and continuously improving testing methodologies

QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, or a related field
• 6+ years of experience in networking and QA, with hands-on expertise in BGP and performance and scalability testing
• Experience with public cloud platforms such as AWS, Azure, GCP, or OCI
• Strong experience working with Linux environments and using command-line tools for troubleshooting
• In-depth experience with network performance testing tools such as iperf and ethr
• Proficiency in scripting languages such as Python or Shell for test automation
• Strong troubleshooting and analytical skills for resolving complex network performance issues
• Ability to collaborate effectively with cross-functional teams to drive performance testing and network optimization efforts

WHO WE ARE:  
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai.

ABOUT THE ROLE: Sr Motion Designer 

Reporting to the Corporate Marketing department, a  Sr. Motion Designer is a key contributor to the Marketing Brand & Creative team. They work alongside senior designers and cross-functional partners to produce engaging motion-based content and videos that support marketing programs and campaigns. They help bring the Aviatrix brand to life through social content, digital ads, UI animations, presentation decks, and more, by executing against creative briefs, collaborating with stakeholders, and contributing fresh ideas to motion-based projects. They are developing their craft and growing into a confident, independent design contributor. 

KEY RESPONSIBILITIES 

• Own end-to-end execution of motion design workstreams for larger campaigns or multi-asset initiatives, ensuring consistency, quality, and alignment with brand and marketing goals 

• Partner with Product Marketing and Demand Generation teams to ensure motion content aligns with messaging, campaign strategy, and audience intent 

• Evaluate performance of motion assets using campaign KPIs (e.g., engagement, reach, brand awareness) and apply insights to improve future creative output 

• Proactively pitch motion concepts and creative approaches that elevate campaign storytelling and brand presence 

• Execute motion graphics and animations across a range of marketing assets, including social media campaigns, digital ads, website content, presentation decks, eBooks, and emails 

• Support the development of brand and marketing content with strong use of motion, typography, and layout 

• Contribute to the production of brand videos, sizzle reels, and UI animations under the guidance of senior designers 

• Collaborate with marketing and creative teams to execute visual storytelling strategies aligned to campaign briefs 

• Apply and follow motion design guidelines to ensure brand consistency across marketing materials 

• Manage your own project timelines and deliver work to brief in a fast-paced environment 

• Participate in creative reviews and clearly communicate your design decisions to peers and team leads 

• Proactively explore and integrate emerging motion design trends, tools, and technologies (including AI-assisted workflows) to enhance creative quality, streamline production, and evolve team capabilities 

QUALIFICATIONS 

• 3–5 years of motion design experience 

• A strong portfolio showcasing motion design, typography, and visual design skills across digital formats 

• Proficiency in industry-standard tools such as Adobe After Effects, Adobe Premiere Pro, and Adobe Illustrator  

• Working knowledge of Adobe Photoshop and familiarity with other creative tools is a plus along with experience using AI-powered tools like Eleven Labs, Runway ML, CapCut, Canva, Descript, and other modern video editing platforms. 

• Solid understanding of motion design principles and a developing talent for visual storytelling 

• Good communication skills, with the ability to receive feedback constructively and present your work clearly to the immediate team 

• A commitment to delivering quality work and a willingness to learn and improve 

• Ability to work both independently on assigned tasks and collaboratively within the team 

• Organized, detail-oriented, and comfortable managing multiple deliverables at once 

• Exposure to B2B or tech environments is a plus 

WHO WE ARE:

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai.

ABOUT THE ROLE: Principal Product Manager

As a Principal Product Manager at Aviatrix, you will serve as a recognized subject matter expert and thought leader, owning the strategy and long-term vision for a set of interrelated features and solution areas within our multi-cloud networking platform. You will drive significant initiatives that shape product value and market differentiation, influencing the product roadmap at the leadership level.

Working closely with engineering, marketing, sales, and customers, you will identify emerging opportunities, make high-stakes prioritization decisions, and lead cross-functional collaboration that defines Aviatrix's competitive position across AWS, Azure, Google Cloud, and beyond.

KEY RESPONSIBILITIES

• Own and drive the long-term vision and comprehensive strategy for a set of interrelated features and solution areas, aligning them to the product's strategic goals, market position, and overall company vision.
• Influence the product roadmap at the leadership level by identifying future opportunities based on emerging industry trends, evolving user needs, and the competitive landscape.
• Engage regularly with enterprise customers, many of whom are based in the U.S., participating in product discussions, roadmap reviews, and strategic sessions; flexibility to schedule and attend meetings across time zones is expected.
• Establish prioritization frameworks for interdependent features that are adopted across product teams, and communicate rationale clearly to executive stakeholders.
• Make critical, high-stakes decisions on feature scope and strategic direction, balancing cross-functional input, market insights, and risk assessment to drive outcomes that impact the broader Product Management function.
• Lead execution across multiple interrelated features, overseeing project roadmaps, assigning responsibilities across teams, and establishing standards for quality delivery.
• Anticipate execution risks and adapt plans proactively based on resource or market changes, ensuring smooth cross-functional collaboration.
• Maintain deep customer focus by synthesizing feedback and real-world enterprise challenges into strategic product decisions, ensuring Aviatrix solutions address critical pain points at scale.
• Conduct competitive analysis and market research to keep Aviatrix at the forefront of enterprise cloud networking and security.
• Drive strategic-level communication across functions, providing detailed roadmap updates, vision presentations, and reports to leadership and executive teams.
• Partner with ecosystem partners and internal teams to validate strategy and deliver measurable, impactful results.
• Evangelize Aviatrix's solutions as an internal and external subject matter expert through thought leadership, technical white papers, webinars, and speaking engagements.
• Mentor and develop junior product managers on execution, collaboration, and strategic thinking best practices.

QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience; Master's degree preferred.
• 12+ years of experience in product management within the cloud or networking domain, with a demonstrated track record of driving product strategy at scale (or 8+ years with a Master's degree).
• Broad expertise and deep specialization in cloud networking technologies, including VPN, SDN, SD-WAN, firewalls, routing protocols, TCP/IP, DNS, IPSec, and cloud-native networking across AWS, Azure, and Google Cloud.
• Proven experience leading strategy and execution for a set of interrelated features or product areas, with direct influence on long-term product roadmap and business outcomes.
• Experience with multi-cloud architectures, networking protocols, and infrastructure as code (IaC) tools.
• Hands-on experience with at least two major cloud platforms (e.g., AWS Networking, Azure Networking, Google Cloud Networking).
• Recognized ability to lead cross-functional collaboration, build consensus, and influence stakeholders up to the executive level.
• Exceptional communication skills with the ability to translate complex technical concepts into strategic narratives for diverse audiences, including C-suite.
• Experience mentoring and developing junior product managers.
• Willingness and ability to work flexible hours to accommodate meetings with customers and stakeholders based in the U.S. and other global time zones.

WHO WE ARE:  

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai.

ABOUT THE ROLE: Sr. Enterprise Applications Developer
Join our Tech Ops team in Bangalore, India as a Sr. Enterprise Applications Developer. Reporting to the Manager, Enterprise Applications, you will design, develop, and maintain secure, reliable, and scalable enterprise applications that support critical business functions across Aviatrix. This role is ideal for an experienced engineer who thrives in a collaborative environment, enjoys solving technical challenges, and is eager to learn from experienced leaders.

Responsibilities

• Design, build, and deliver enterprise applications using AWS Lambda, AWS Step Functions, Node.js, Python, React, and Postgres.
• Develop and maintain integrations across internal systems and external services, ensuring reliability, scalability, and security.
• Implement features and enhancements for internal business applications, ensuring high standards of security, reliability, and performance.
• Participate in code reviews, testing, and debugging to maintain code quality and operational excellence.
• Assist in integrating cloud platforms (AWS, Azure, GCP) and serverless architectures.
• Support the development of LLM-powered applications and agents, leveraging AI tools for code generation, test automation, and architecture exploration.
• Contribute to Single Sign-On (SSO) integrations and other secure authentication solutions.
• Document technical designs, APIs, and workflows for team knowledge sharing.
• Collaborate cross-functionally with IT, security, and business stakeholders to align on system requirements and deliverables.
• Engage in regular 1:1s, feedback sessions, and career development discussions with the Manager Enterprise Applications
• Participate in technical hiring processes and team growth initiatives as needed.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of professional software development experience.
• Hands-on experience with AWS Lambda, AWS Step Functions, Node.js, Python, React, and Postgres.
• Familiarity with cloud platforms (AWS, Azure, GCP) and serverless architectures.
• Understanding of distributed systems, API design, and application security.
• Ability to leverage AI tools in the development workflow.
• Strong communication and collaboration skills; comfortable working in cross-functional teams.
• Willingness to learn, take feedback, and grow within the team.

Preferred Qualifications

• Experience building IT applications for sales, support, or marketing functions.
• Familiarity with DevOps practices, CI/CD, and test automation

Who We Are:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

About the Role - Staff Engineer – Software Development.

Our SaaS platform serves enterprise customers with a reliable, secure, and scalable product built on modern microservices, event-driven data pipelines, and increasingly, AI-powered capabilities.

We are seeking a Staff Engineer – Software Engineering to join our SaaS Platform team. Staff Engineers at Aviatrix operate at the intersection of technical depth and cross-team influence. You will drive the design and delivery of complex backend systems — including AI-augmented data pipelines and agentic AI integrations — while raising the technical bar across the organization. This role is ideal for an engineer who is deeply technical, thrives on solving ambiguous problems, and is ready to shape both the platform’s architecture and the team’s engineering culture.

Position Responsibilities

Architecture & Technical Leadership

• Lead the architecture and delivery of complex backend platform features spanning multiple microservices; break down large, ambiguous projects into well-scoped sub-projects and guide senior engineers through execution.
• Define technical standards, patterns, and best practices for backend microservices development across the team — covering API design, service communication, data modeling, and reliability.
• Own the architectural design of AI-augmented data pipelines: integrating model inference, agentic workflows, and LLM-based processing steps into streaming and batch data flows on AWS.
• Evaluate and recommend agentic AI frameworks and tooling (such as LangChain, LlamaIndex, Amazon Bedrock Agents, or equivalent) for use in platform components; establish integration patterns the broader team can follow.
• Write and present comprehensive design documents and technical proposals that articulate complex problems, solution trade-offs, and long-term platform direction.
• Drive improvements to Aviatrix’s product and security posture, including contributions outside your immediate project area.

AI-Augmented Data Pipelines

• Design and implement data pipelines that incorporate AI/ML model inference as a first-class processing step, enabling intelligent enrichment, classification, anomaly detection, and summarization of platform telemetry and events.
• Architect agentic AI workflows that operate autonomously within data pipelines — orchestrating tool use, retrieval-augmented generation (RAG), and multi-step reasoning to drive platform automation.
• Integrate large language models (LLMs) and foundation models via managed APIs (Amazon Bedrock, OpenAI, Anthropic) and self-hosted inference endpoints into backend services and pipeline stages.
• Build robust prompt engineering and context management layers that make AI model calls reliable, observable, cost-efficient, and safe in a production SaaS context.
• Establish guardrails, evaluation frameworks, and monitoring strategies for AI components in pipelines — including output validation, hallucination detection, latency tracking, and cost controls.
• Collaborate with data and ML teams to define feature stores, embedding pipelines, vector database integrations (e.g., Amazon OpenSearch, pgvector), and model lifecycle management practices.

Backend & Microservices Engineering

• Design and implement high-performance, production-grade microservices in Golang using gRPC and REST; ensure services are secure, observable, and operationally resilient.
• Drive the design of event-driven architectures using AWS data pipeline services — Kinesis, MSK (Kafka), Glue, Step Functions, and EMR — to support real-time and batch processing at scale.
• Enforce strong security and networking practices: AWS VPC architecture, IAM least-privilege access, PrivateLink for private service connectivity, and encryption in transit and at rest.
• Lead platform-wide reliability initiatives: SLO definition, distributed tracing, structured logging, alerting, and chaos engineering practices.
• Conduct rigorous design and code reviews; set a high bar for correctness, testability, and operational readiness.

Team Influence & Collaboration

• Serve as a technical anchor for the team — raising engineering quality through mentorship, design guidance, and a culture of rigorous technical thinking.
• Collaborate with product management and leadership to align technical roadmap investments with business priorities and customer needs.
• Partner with senior engineers across teams to drive consistency in platform architecture and avoid redundant solutions.
• Provide expert guidance during escalations and critical production incidents; drive root-cause analysis and long-term remediation.
• Contribute to recruiting and interviewing; help define bar-raising standards for backend and AI engineering roles.

Requirements

Experience & Education

• 7–10+ years of professional software engineering experience, with a strong track record of technical leadership on backend systems.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• Demonstrated experience designing and operating SaaS or PaaS products at scale, with multi-tenancy and high-availability requirements.
• Strong foundation in data structures, algorithms, operating systems, and distributed systems.
• Experience working in fast-paced, high-growth technology companies with geographically distributed teams.

Backend & Microservices

• Strong proficiency in Golang; experience building production-grade gRPC-based microservices.
• Deep understanding of distributed systems: consistency, fault tolerance, service discovery, back-pressure, and distributed tracing.
• Expertise in RESTful and gRPC API design, with a strong sense of API contracts, versioning, and backward compatibility.
• Experience building event-driven architectures with message queue and streaming systems (Kafka/MSK, Kinesis, SQS/SNS).
• Strong understanding of elegant and robust system design; ability to evaluate and articulate key engineering trade-offs.

Agentic AI & LLM Integration

• Hands-on experience integrating large language models (LLMs) and foundation models into production backend systems via managed APIs or self-hosted inference.
• Practical knowledge of agentic AI concepts: tool use, autonomous multi-step reasoning, agent orchestration, and human-in-the-loop patterns.
• Experience with at least one agentic AI framework or platform (e.g., LangChain, LlamaIndex, Amazon Bedrock Agents, AutoGen, or similar).
• Familiarity with retrieval-augmented generation (RAG): embedding models, vector databases (OpenSearch, pgvector, Pinecone), and context retrieval strategies.
• Understanding of prompt engineering principles: structured prompts, few-shot examples, chain-of-thought reasoning, and output validation.
• Experience designing AI guardrails and evaluation pipelines to ensure reliability, safety, and cost-efficiency of LLM components in production.

Data Pipelines

• Proven experience designing and operating large-scale data pipelines for real-time streaming and batch workloads.
• Strong working knowledge of AWS data pipeline services: Amazon Kinesis (Data Streams & Firehose), AWS Glue, Amazon MSK, AWS Step Functions, and Amazon EMR.
• Ability to embed AI/ML inference steps — including LLM calls, embedding generation, and model scoring — as processing stages within data pipelines.
• Familiarity with pipeline observability: data lineage, quality monitoring, SLA management, and alerting.
• Experience with schema management, data quality enforcement, and data catalog practices (e.g., AWS Glue Data Catalog).

AWS & Cloud Infrastructure

• Deep experience with AWS as a primary cloud platform; strong understanding of high-availability, multi-AZ deployment patterns.
• Solid knowledge of AWS networking and security: VPC architecture, IAM roles and policies, AWS PrivateLink, Transit Gateway, and security groups.
• Proficiency with Kubernetes (EKS), including workload scheduling, RBAC, networking (CNI), and cluster operations.
• Experience with infrastructure-as-code (Terraform, CDK, or CloudFormation) and CI/CD pipelines for cloud-native backend services.
• Familiarity with Amazon Bedrock or equivalent managed AI/ML platforms for model deployment and inference at scale.

Nice to Have

• Experience fine-tuning or adapting foundation models for domain-specific tasks.
• Familiarity with ML frameworks (PyTorch, HuggingFace Transformers) and model serving infrastructure (SageMaker, TorchServe).
• Background in network security, cloud networking, or SASE/SD-WAN technologies.
• Experience with multi-cloud environments (Azure, GCP) alongside AWS.
• Contributions to open-source AI, data engineering, or cloud-native projects.

Interpersonal & Communication

• Excellent written and verbal communication; able to produce clear technical documents and present confidently to engineering and product leadership.
• Demonstrated ability to lead through influence, build consensus across teams, and drive outcomes without direct authority.
• Team player who thrives in collaborative, geographically distributed environments and startup-paced cultures.

 
Who We Are:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

About the Role - Staff Engineer – Backend Engineering

Aviatrix PaaS delivers intelligent, multi-cloud network and security services as a managed offering. We are seeking a Staff Engineer – Backend Engineering to lead the design and delivery of Golang-based microservices, large-scale data engineering pipelines, and enterprise SaaS platform operations on AWS. You will set technical direction, raise the engineering bar across the team, and drive platform reliability and scalability at enterprise scale.

Position Responsibilities

Architecture & Technical Leadership

• Own the end-to-end architecture and delivery of major backend platform capabilities; break down complex problems into well-scoped engineering efforts and guide execution.

• Define next-generation architectures for distributed Golang microservices and high-throughput data pipelines on AWS; establish standards the broader engineering org adopts.

• Write design proposals and technical documents that articulate trade-offs and long-term platform direction for engineering and product leadership.

• Drive improvements to platform reliability, security posture, and engineering quality across the team.

Golang Microservices Engineering

• Lead design and implementation of production-grade Golang microservices; establish team-wide service patterns, API conventions, and coding standards.

• Architect synchronous (gRPC, REST) and asynchronous (event-driven) inter-service communication with a focus on fault tolerance and operational simplicity.

• Drive SLO/SLA definition, distributed tracing, structured logging, alerting, and capacity planning across the microservices estate.

• Set a high bar through rigorous design and code reviews; mentor engineers on idiomatic Golang, testability, and production readiness.

Data Engineering & Pipelines

• Architect and deliver large-scale data engineering pipelines for real-time streaming and batch workloads, with a focus on reliability, throughput, and data quality.

• Own adoption and integration of AWS data pipeline services: Amazon Kinesis, Amazon MSK (Kafka), AWS Glue, AWS Step Functions, and Amazon EMR.

• Define pipeline reliability standards: idempotency, dead-letter queue handling, delivery semantics, schema governance, and back-pressure management.

• Establish pipeline observability practices: throughput/latency dashboards, data quality monitoring, lineage tracking, SLA alerting, and cost-per-record analysis.

SaaS Platform Operations

• Drive SaaS-specific platform capabilities: multi-tenancy isolation, tenant-aware data partitioning, rate limiting, quota management, and resource fairness.

• Enforce AWS networking and security best practices: VPC architecture, IAM least-privilege, PrivateLink, Transit Gateway, and encryption in transit and at rest.

• Lead platform infrastructure-as-code practices (Terraform/CDK) and CI/CD pipeline standards for consistent, auditable deployments.

• Own the operational model: runbook standards, on-call practices, incident management, and post-incident review culture.

Team Leadership & Influence

• Mentor engineers and serve as a technical anchor for the team; foster a culture of rigorous technical thinking and continuous improvement.

• Partner with product management and leadership to align backend platform investments with business priorities and customer commitments.

• Lead escalations and critical production incidents; drive root-cause analysis and long-term remediation.

• Contribute to recruiting and interviewing; help define bar-raising standards for backend and data engineering hires.

Requirements

Experience & Education

• 6+ years of professional software engineering experience with a strong track record of technical leadership on large-scale backend systems.

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

• Demonstrated experience designing and operating enterprise-grade SaaS/PaaS products at scale: multi-tenancy, high availability, and operational reliability.

Golang & Microservices

• Expert proficiency in Golang; extensive experience building production-grade gRPC-based microservices.

• Deep expertise in distributed systems: consistency models, fault tolerance, service discovery, circuit breaking, and distributed tracing.

• Mastery of RESTful and gRPC API design, including versioning, backward compatibility, and API contract governance.

• Strong understanding of concurrent Golang programming: goroutines, channels, sync primitives, and memory management.

Data Engineering & Pipelines

• Deep, hands-on experience designing and operating large-scale data pipelines for real-time streaming and batch workloads in production.

• Expert knowledge of AWS data pipeline services: Kinesis, Amazon MSK (Kafka), AWS Glue, Step Functions, and EMR.

• Strong grasp of pipeline reliability patterns: idempotency, exactly-once semantics, dead-letter queues, and schema evolution.

• Experience with data storage technologies relevant to SaaS data engineering: Amazon S3, Redshift, Aurora/RDS, and DynamoDB.

AWS & SaaS Platform

• Deep expertise with AWS as a primary cloud platform; strong command of high-availability, multi-AZ deployment architectures.

• Advanced knowledge of AWS networking and security: VPC design, IAM, PrivateLink, Transit Gateway, and security group management.

• Proficiency with Kubernetes (EKS): scheduling, RBAC, networking (CNI), cluster operations, and multi-tenant workload isolation.

• Strong experience with infrastructure-as-code (Terraform, CDK) and mature CI/CD pipelines for cloud-native backend services.

Nice to Have

• Familiarity with data lakehouse tooling (Apache Iceberg, Delta Lake, AWS Lake Formation) or Amazon OpenSearch Service.

• Background in network security, cloud networking, or SASE/SD-WAN technologies.

• Experience with multi-cloud environments (Azure, GCP) alongside AWS.

Who We Are:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

About the Role – Senior Member of Technical Staff – Software Development

Our SaaS platform serves enterprise customers with a reliable, secure, and scalable product built on modern microservices, event-driven data pipelines, and AI-powered capabilities.We are seeking a Senior Member of Technical Staff (Sr MTS) – Software Development to join our SaaS Platform team. This role is ideal for a backend engineer who has moved beyond writing individual features and is ready to take meaningful ownership of platform components, contribute to technical design, and start influencing the direction of the team. You will work alongside Staff and Principal Engineers on building microservices, data pipelines, and AI-integrated backend systems on AWS — developing both your technical depth and your ability to lead within a team.

Position Responsibilities: 

Feature Development & Ownership

• Take end-to-end ownership of backend features and services — from requirements and design through implementation, testing, deployment, and monitoring.
• Design and implement production-grade microservices in Golang, following team standards for gRPC and RESTful API patterns.
• Contribute meaningfully to technical design discussions; author design documents for features and components you own, incorporating feedback from senior engineers.
• Write well-tested, maintainable code; champion testing practices including unit, integration, and end-to-end tests within your feature area.
• Participate in on-call rotations; debug and resolve issues in distributed backend services and contribute to post-incident reviews.

Data Pipelines & AI Integration

• Build and extend data pipeline components that process, enrich, and route platform telemetry and events using AWS streaming and batch services (Kinesis, MSK, Glue, Step Functions).
• Integrate AI and LLM capabilities into backend services and pipeline stages — including model inference calls, output parsing, and result handling — under the guidance of Staff Engineers.
• Implement agentic AI workflow components such as tool-use handlers, retrieval-augmented generation (RAG) steps, and prompt orchestration layers as part of broader pipeline designs.
• Contribute to the reliability and correctness of AI pipeline components through thorough testing, output validation, and adherence to team guardrail standards.

Platform Reliability & Operations

• Ensure backend services you build are observable from day one: structured logging, metrics, distributed tracing, and alerting are treated as part of the definition of done.
• Apply AWS networking and security best practices in the services you build: secure IAM roles, VPC-aware service communication, and encryption in transit and at rest.
• Proactively identify and address reliability gaps, performance bottlenecks, and technical debt in platform components you own.
• Support deployment of services on AWS using team CI/CD pipelines and infrastructure-as-code tooling.

Collaboration & Team Contribution

• Collaborate effectively with Staff and Principal Engineers, product managers, and peers across a geographically distributed team.
• Conduct thorough code reviews and provide constructive, actionable feedback; help MTS engineers grow through mentorship on your area of expertise.
• Document APIs, service behavior, data flows, and runbooks clearly so teammates can understand, operate, and evolve your work.
• Participate actively in planning, estimation, and sprint ceremonies; raise technical risks and dependencies early.

Requirements

Experience & Education

• 3+ years of professional software engineering experience in backend development.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• Solid foundation in computer science fundamentals: data structures, algorithms, and operating systems.
• Demonstrated experience owning and shipping backend features or services in a production cloud environment.
• Experience working in collaborative, agile engineering teams; comfortable operating in fast-paced, high-growth environments.

Backend & Microservices

• Proficiency in Golang or a comparable strongly typed backend language; willingness to work primarily in Golang.
• Working understanding of microservices architecture: service boundaries, inter-service communication via REST and gRPC, and the trade-offs of distributed systems.
• Experience designing and implementing APIs with attention to correctness, reliability, and ease of use by other services.
• Familiarity with event-driven patterns and messaging systems such as Kafka, Kinesis, or SQS/SNS.
• Strong testing practices: unit, integration, and contract testing for backend services.

Agentic AI & LLM Integration

• Working knowledge of large language models (LLMs) and how they are integrated into backend systems via API calls (e.g., Amazon Bedrock, OpenAI, or Anthropic APIs).
• Familiarity with agentic AI concepts: tool use, multi-step reasoning, and agent orchestration frameworks such as LangChain, LlamaIndex, or Amazon Bedrock Agents.
• Ability to implement prompt templates, manage context windows, and handle model outputs reliably within backend service logic.
• Understanding of retrieval-augmented generation (RAG) patterns: embedding generation, vector store queries, and context injection into prompts.
• Awareness of production considerations for AI components: output validation, error handling, latency management, and cost awareness.

Data Pipelines

• Practical experience building or contributing to data pipelines for real-time or batch processing workloads.
• Familiarity with AWS data pipeline services: Amazon Kinesis, AWS Glue, Amazon MSK (Kafka), AWS Step Functions, or Amazon EMR.
• Understanding of how to embed AI/ML model inference calls as processing steps within a data pipeline.
• Ability to add pipeline observability: tracking throughput, latency, error rates, and data quality metrics.

AWS & Cloud Infrastructure

• Hands-on experience deploying and operating backend services on AWS; familiarity with core services including EC2, ECS/EKS, S3, RDS, and SQS/SNS.
• Basic understanding of AWS networking and security: VPC, security groups, IAM roles and policies, and encrypted communications.
• Experience with containerization (Docker) and deploying services in container-based environments.
• Comfort working with CI/CD pipelines, Git-based workflows, and infrastructure-as-code tooling (Terraform or AWS CDK is a plus).

Nice to Have

• Experience with Kubernetes (EKS) for container orchestration.
• Hands-on use of Amazon Bedrock or equivalent managed AI platforms for LLM inference.
• Experience with vector databases or embedding stores (OpenSearch, pgvector, Pinecone).
• Exposure to AWS managed data services such as Amazon Redshift, DynamoDB, or Aurora.
• Background in network security, cloud networking, or multi-cloud environments.
• Interest in or exposure to ML model lifecycle management and MLOps practices.

Interpersonal & Communication

• Clear written and verbal communication; able to write design documents, articulate technical decisions, and give constructive code review feedback.
• Collaborative team player who works well in cross-functional, geographically distributed teams.
• A growth mindset — eager to deepen expertise, take on new challenges, and mentor peers as you develop.

WHO WE ARE:  

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

ABOUT THE ROLE: Senior Payroll Analyst

As a Payroll Processing Specialist, your primary responsibility is to accurately process payroll for employees based in the United States and International locations. You will ensure compliance with federal, state, and local tax regulations, as well as company policies while delivering timely and accurate payments to employees. Your attention to detail, knowledge of payroll laws, and proficiency with payroll software will be crucial in this role.

Key Responsibilities:

1. Payroll Processing:

o Calculate and process employee wages, salaries, bonuses accurately and in accordance with time records and employment contracts.

o Ensure proper deductions for federal, state, and local taxes, as well as benefits, retirement contributions, and other withholdings.

o Process payroll through specialized software such as Rippling, or similar systems, following established procedures and timelines.

o Should also review and process expense reports, If any.

2. Tax Compliance:

o Stay informed about federal, state, and local tax regulations related to payroll, including updates to withholding rates, exemptions, and reporting requirements.

o Ensure accurate and timely filing of payroll tax returns, including Forms 941, W-2, W-3, and state-specific forms, in compliance with IRS and state tax agency guidelines.

o Reconcile payroll tax liabilities and payments, addressing any discrepancies or issues promptly.

3. Benefits contributions and funding:

o Ensure accurate global processing of benefit deductions (e.g., 401(k), health & benefits premiums), and manage the timely funding and remittance of flexible spending accounts to plan carrier

o Partner with HR to process new hire elections and enrollment changes in the payroll system, and resolve employee inquiries regarding pay stub deductions and contribution amounts.

4. Record-Keeping and Reporting:

o Maintain accurate records of employee earnings, deductions, and hours worked, ensuring compliance with record-keeping requirements under the Fair Labor Standards Act (FLSA) and other applicable laws.

o Generate payroll reports for management, accounting, and auditing purposes, providing insights into payroll costs, trends, and discrepancies.

o Reconcile payroll accounts and resolve any discrepancies or variances in a timely manner.

5. Employee Support and Communication:

o Serve as a point of contact for employees regarding payroll inquiries, tax withholding, and pay-related matters, providing clear and timely assistance.

o Communicate payroll-related changes, deadlines, and policies to employees through various channels, such as email, slack, or employee meetings.

o Address payroll-related concerns or disputes professionally and confidentially and also collaborate with HR and management as needed.

o Availability to support North America pacific time through 2PM is preferred

Qualifications and Skills:

· Bachelor's degree in Accounting, Finance, Business Administration, or related field preferred.

· FPP OR CPP desired.

· 5 years of experience in US payroll processing, preferably in a multi-state environment. Handling International payroll would be an added advantage.

· In-depth knowledge of federal and state payroll tax laws, regulations, and compliance requirements.

· Proficiency in payroll software and systems, such as Rippling, or similar platforms, as well as Microsoft Excel for data analysis and reporting.

· Strong attention to detail and accuracy in calculations and record-keeping. Maintaining Confidentiality of the data.

· Excellent communication and interpersonal skills, with the ability to interact effectively with employees, managers, and external stakeholders.

· Ability to prioritize tasks, meet deadlines, and work effectively in a fast-paced environment. You might be required to work in shifts in order to accommodate time zones.

Conclusion: As a Payroll Processing Specialist, you play a critical role in ensuring accurate and compliant payroll processing for employees across the United States and Worldwide. Your expertise in payroll laws, tax regulations, and software systems, combined with your commitment to accuracy and employee support, contribute to the overall success and efficiency of the payroll function within the organizatio

• Design, implement, test, and ship backend features and services that are reliable, well-documented, and maintainable.
• Build and extend microservices using Golang, following team conventions around gRPC and RESTful API design.
• Participate in the full development lifecycle — from requirements and design to code review, deployment, and monitoring.
• Write clean, well-tested code; contribute unit and integration tests and maintain high code quality standards.
• Debug and resolve issues in distributed backend services; participate in on-call rotations as you grow into the role.

• Collaborate closely with senior engineers, product managers, and peers to deliver platform features on time and with high quality.
• Actively participate in design and architecture discussions; bring curiosity and fresh perspectives to technical conversations.
• Incorporate feedback from code reviews to continuously improve your engineering skills and deepen your understanding of the platform.
• Document your work clearly — APIs, service behavior, runbooks — to help teammates understand and maintain what you build.
• Stay current with industry trends in backend development, cloud-native patterns, and distributed systems.

• Contribute to the reliability and observability of backend services by adding metrics, logs, and alerts as part of feature delivery.
• Assist in deploying and operating services on AWS cloud infrastructure, following team runbooks and operational standards.
• Help identify and address performance bottlenecks, reliability gaps, and technical debt in existing platform components.

• 1–3 years of professional software engineering experience in backend development.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• Solid grounding in computer science fundamentals: data structures, algorithms, and operating systems.
• Experience contributing to or shipping features in a production backend service or cloud application.

• Proficiency in at least one strongly typed backend language; experience with Golang is a strong plus.
• Understanding of microservices architecture — service boundaries, inter-service communication (REST/gRPC), and the trade-offs of distributed systems.
• Familiarity with API design principles: RESTful HTTP APIs, request/response patterns, and error handling.
• Working knowledge of relational or NoSQL databases; ability to write efficient queries and understand basic data modeling.
• Experience writing unit tests and integration tests; appreciation for testing as a quality practice.

• Hands-on experience building or deploying backend services on a public cloud platform, with AWS preferred.
• Familiarity with core AWS services used in backend applications: EC2, S3, RDS, SQS/SNS, or Lambda.
• Basic understanding of containerization (Docker) and how services are packaged and deployed.
• Comfort working with CI/CD pipelines and version control (Git) in a collaborative engineering environment.

• Experience with Golang and gRPC-based microservices.
• Exposure to event-driven or streaming architectures (Kafka, Kinesis, SQS).
• Familiarity with Kubernetes or container orchestration concepts.
• Experience with AWS managed data services: Kinesis, Glue, Step Functions, or MSK.
• Exposure to infrastructure-as-code tools such as Terraform or AWS CDK.
• Interest in or exposure to networking, cloud security, or multi-cloud environments.

• Clear written and verbal communication; able to articulate technical concepts to teammates and in code reviews.
• Collaborative mindset — you ask questions, share context, and contribute positively to team culture.
• Eagerness to learn, receive feedback, and grow quickly in a fast-paced, distributed team environment.

WHO WE ARE:
Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

About the Role: Distinguished Engineer

Overview

We are seeking a Cloud AI Network Security Developer to architect and deliver advanced AI-driven network security capabilities across multi-cloud environments.

You’ll lead the design of Python/Go-based distributed systems that power intelligent firewalls, real-time telemetry analytics, and LLM-integrated threat automation.

This role combines deep knowledge of cloud networking, firewall technologies, data engineering, and AI model integration to create secure, adaptive, and self-learning security systems.

Key Responsibilities

• Lead the architecture, design, and development of advanced cloud networking solutions.
• Mentor and provide technical guidance to engineering teams, fostering a culture of innovation and excellence.
• Collaborate with cross-functional teams to develop and implement strategies that enhance cloud network performance, scalability, and security.
• Drive the adoption of new technologies and best practices in cloud networking.
• Conduct in-depth research and analysis to identify emerging trends and technologies in cloud networking.
• Present technical vision and roadmap to stakeholders, ensuring alignment with business goals.
• Contribute to the development of industry standards and participate in technical conferences and committees.

Required Skills

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• 15+ years of experience in software development and cloud networking.
• Deep understanding of cloud networking architectures, protocols, and technologies
• Proven experience in leading and mentoring engineering teams.
• Strong problem-solving skills and the ability to think strategically.
• Excellent communication and presentation skills.
• Demonstrated ability to drive innovation and influence industry standards.
• Solid experience in Kubernetes, microservices architecture, and observability systems (Prometheus, ELK, Grafana).
• Familiarity with security frameworks (Zero Trust, NIST CSF, CIS Benchmarks).

• Should have architected security and networking solutions, delivering key innovations.
• Patent holders in cloud networking or security are preferred.
• Must be hands-on, serve as a subject matter expert (SME), and provide both technical and thought leadership to a global team of engineers.
• Should have led large-scale initiatives across geographies within the company, including hackathons, idea generation, and driving successful implementation and delivery.
• Must possess up-to-date, hands-on expertise in AI technologies and their practical implementation.
• Should be able to code, debug, and provide effective fixes or solutions as needed.

Nice to Have

• Experience in LLM application design (RAG, LangChain, vector databases).
• Expertise with network telemetry analytics and visualization systems.
• Contributions to open-source network security or AI frameworks.
• Knowledge of distributed systems scaling, resilient cloud design, and multi-cloud policy federation.
• Certifications such as AWS Security Specialty, GCP Cloud Security Engineer, CISSP, or CKA.