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Sr. Forward Deployed Engineer

Job in Bridgewater, Plymouth County, Massachusetts, 02324, USA
Listing for: Persistent Systems
Full Time position
Listed on 2026-09-13
Job specializations:
  • Software Development
    Cloud Engineer - Software, AI Engineer (Applied/Software), DevOps
Salary/Wage Range or Industry Benchmark: 150000 - 210000 USD Yearly USD 150000.00 210000.00 YEAR
Job Description & How to Apply Below

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, Dev Sec Ops , 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.

  • 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, Git Ops, 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…
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