Sr. Forward Deployed Engineer

Persistent Systems

San Jose (CA)

On-site

USD 180,000 - 240,000

Full time

48 hours ago
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Benefits offered by this job

Hybrid work policy
Growth opportunities
Higher education sponsorship
Project parties
Long Service awards
Insurance coverage

Job summary

Persistent Systems in San Jose, CA seeks a Forward Deployed Engineer to design, build, and deploy scalable cloud, AI, and enterprise software solutions that solve complex business challenges.

The role spans full-stack engineering, multi-cloud platforms, DevSecOps, AI/ML, data engineering, and enterprise architecture, translating emerging technologies into measurable business outcomes.

Qualifications

  • Extensive experience designing and delivering cloud-based, AI-enabled enterprise platforms.
  • Proven ability to translate complex technology into business value for clients.
  • Strong background in multi-cloud architectures and security best practices.

Responsibilities

  • Design and develop full-stack applications using modern web technologies and microservices.
  • Build scalable, enterprise-grade platforms on multi-cloud, cloud-native and Kubernetes-based architectures.
  • Lead engineering automation across CI/CD, GitOps, MLOps, IaC, and Secure SDLC.
  • Build and operationalize AI solutions including Generative AI, LLMs, and toolchains.
  • Shape enterprise architecture and modernization initiatives using TOGAF-like frameworks.
  • Evaluate emerging technologies via PoCs and accelerator programs.
  • Enable AI, analytics, and BI through modern data platforms and real-time streaming.

Skills

Full-stack engineering
Cloud platforms (Azure AWS GCP)
DevSecOps & MLOps
AI/ML & generative AI
Enterprise architecture
Data engineering & ETL/ELT
Kubernetes & containerization
Security engineering

Tools

Terraform
Ansible
LangChain
Pinecone/Weaviate
LLMOps tooling
GitHub Actions / CI/CD
Kubernetes

Job description

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix® Assessment 2026 and Software Product Engineering PEAK Matrix® Assessment 2026.

About Position:

As a Forward Deployed Engineer at Persistent, you will partner directly with customers to design, build, and deploy scalable cloud, AI, and enterprise software solutions that solve complex business challenges and accelerate digital transformation. Based on the role requirements, the position spans full-stack engineering, cloud platforms, DevSecOps, AI/ML, enterprise architecture, innovation, and data engineering. You will bring deep expertise across modern software engineering, cloud-native architectures, AI/Generative AI technologies, platform engineering, and data ecosystems, along with the ability to translate emerging technologies into measurable business outcomes for clients.

  • Location: San Jose, CA
  • Experience: 10+ Years
  • Job Type: Full-Time Employment
What You’ll Do:
  • Design and develop full-stack applications using modern web technologies, APIs, microservices, event-driven architectures, enterprise integration, and distributed systems.
  • Build scalable, resilient, enterprise-grade platforms using multi-cloud, cloud-native, serverless, containerized, and Kubernetes-based architectures.
  • Implement and improve engineering automation across CI/CD, GitOps, MLOps, Infrastructure as Code, observability, monitoring, automated deployments, Secure SDLC, and release engineering.
  • Build and operationalize AI solutions spanning Generative AI, machine learning, deep learning, Agentic AI, orchestration frameworks, RAG, vector databases, model fine-tuning, LLMOps, and secure AI practices.
  • Shape enterprise architecture and modernization initiatives using established architecture frameworks, cloud-native design patterns, integration architectures, and security best practices.
  • Evaluate, prototype, and operationalize emerging technologies through Proofs of Concept, accelerator programs, modernization initiatives, and AI transformation efforts.
  • Enable AI, analytics, and business intelligence solutions through modern data platforms, ETL/ELT pipelines, data lakes, real-time streaming, and data-driven application architectures.
Expertise You’ll Bring:
  • Deep application and integration experience covering API development, microservices, event-driven architectures, enterprise integration, and distributed systems design.
  • Cloud and platform engineering expertise across Azure, AWS, and GCP, with strong knowledge of multi-cloud and cloud-native architectures.
  • Advanced DevSecOps and MLOps knowledge including CI/CD, GitOps, Terraform, Ansible, observability, monitoring, Secure SDLC, release engineering, and platform automation.
  • Hands-on AI and machine learning expertise with OpenAI, Azure OpenAI, Anthropic, Gemini, Llama, Mistral, Hugging Face, and emerging AI platforms.
  • Experience with AI orchestration and agent frameworks including LangChain, LangGraph, Semantic Kernel, LlamaIndex, CrewAI, and AutoGen.
  • Strong knowledge of modern AI engineering practices including prompt engineering, RAG, Pinecone, Weaviate, Chroma, FAISS, Azure AI Search, model fine-tuning, LLMOps, and secure AI.
  • Enterprise architecture and security proficiency including TOGAF, Zachman, Zero Trust, IAM, encryption, compliance frameworks, cybersecurity, and secure AI implementations.
  • Strong data engineering and analytics capability across data platforms, ETL/ELT, data lakes, real-time streaming, analytics, and data-driven application architectures.
  • Technology leadership capability with a proven ability to translate innovation into scalable business solutions and measurable outcomes.
  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

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