Live opening · Posted 16 hours ago

Forward Deployment Engineer

Scoutit · Bengaluru, Karnataka, India (Hybrid)
Linkedin Hybrid
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At a glance

The key details from the original listing.

Posted 16 hours ago
CompanyScoutit
LocationBengaluru, Karnataka, India (Hybrid)
Work modeHybrid
SkillsPython, JavaScript, TypeScript, Java, C#, AWS, Azure
SourceLinkedin
Listed16 hours ago

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About the role

Description supplied by the original job listing.

We're looking for Forward Deployment Engineers!
Responsibilities:
Work directly with business and product teams to understand complex problems and translate them into technical solutions.
Rapidly prototype, build and deploy production-quality applications and integrations.
Own solutions end-to-end - from discovery and technical design through development, deployment, adoption and continuous improvement.
Embed with teams and operate close to the problem rather than working purely as a central engineering function.
Integrate applications with existing platforms, APIs, data sources and enterprise systems.
Develop reusable components, services and patterns that can be scaled across teams.
Work across the full engineering lifecycle, including coding, testing, CI/CD, deployment, monitoring and production support.
Diagnose technical issues in live environments and work collaboratively to resolve them.
Partner with architecture, security, platform and infrastructure teams to ensure solutions meet enterprise standards.
Use data, experimentation and user feedback to iterate rapidly and demonstrate measurable impact.
Help identify where emerging technologies, including AI and GenAI, can solve meaningful business problems.
Document solutions and share learnings so successful approaches can be adopted more broadly.
Influence engineering practices and contribute to a strong engineering culture.
Qualifications:
Strong software engineering fundamentals with experience building production applications.
Strong proficiency in at least one modern programming language such as Python, Java, TypeScript/JavaScript, Go or C#.
Strong proficiency in AI/ML, GenAI, LLM applications, AI agents and Data engineering or analytics
Experience designing and consuming REST APIs, microservices and distributed systems.
Experience with cloud technologies, preferably GCP, AWS or Azure.
Strong understanding of databases, data structures and system integration.
Experience with Git, CI/CD, automated testing and modern software development practices.
Understanding of observability, logging, monitoring and production troubleshooting.
Experience working with containers and/or Kubernetes.
Forward deployment mindset
Comfortable working with ambiguity and turning loosely defined problems into working solutions.
Able to move quickly between discovery, prototyping and production engineering.
Strong customer and stakeholder orientation.
Comfortable working directly with senior business and technical stakeholders.
Able to explain complex technical concepts to non-technical audiences.
Strong problem-solving and debugging capability.
Pragmatic: knows when to build quickly, when to engineer for scale and when to reuse an existing capability.
Takes ownership for outcomes rather than only technical deliverables.
Bonus:
Cloud-native application development
API and platform integration
DevOps / SRE
Financial services or other highly regulated environments
Enterprise technology transformation
Rapid prototyping / innovation engineering
(Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the opportunity are managed by the respective hiring team.)

Work arrangement
Hybrid

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