Platform Engineer- AI at Smarsh

Bengaluru, Karnataka, India

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Financial Services, ComplianceIndustries

Requirements

5+ years of experience in software engineering, platform engineering, or DevOps automation
Strong programming skills in Python, Go, or TypeScript, with a focus on reusable frameworks and automation systems
Proficiency with Kubernetes, Terraform, and CI/CD systems such as Argo, GitHub Actions, or GitLab CI
Experience with policy-as-code (OPA) and compliance automation pipelines
Understanding of software supply chain security, auditability, and change governance in complex ecosystems
Familiarity with AI-assisted developer workflows, copilot systems, or agent orchestration frameworks
Experience designing systems that combine human intent with AI execution, using structured specifications as the interface
Understanding of AI context propagation, prompt scaffolding, and autonomous reasoning in software workflows
Knowledge of telemetry pipelines, Open Telemetry, and feedback loops between automation and insight
Proven ability to design modular, extensible systems that enable spec-to-execution automation
Deep understanding of SDLC and AI-DLC convergence, including traceability, auditability, and compliance design patterns
Strong grasp of platform architecture, composable frameworks, and integration across CI/CD, IaC, and AI systems
Capable of thinking across data, process, and automation layers to create cohesive, scalable patterns
Exceptional ability to collaborate across disciplines — AI, platform, product, and compliance
Clear technical communicator with a product mindset — able to bridge specification detail with outcome focus
Systems thinker who can articulate and evangelize spec-first engineering as the foundation for intelligent automation
Preferred Qualifications
Prior experience in DevSecOps, platform enablement, or engineering systems architecture
Exposure to AI agent frameworks, LLM integration, or autonomous software delivery systems
Experience building self-service developer platforms and specification-driven automation systems
Familiarity with AI governance, policy observability, and AI validation frameworks

Responsibilities

Design and build the next generation of Agentic Modules — the atomic, specification-driven building blocks of the Smarsh Agentic Development Lifecycle (AI-SDLC)
Define how executable specifications evolve from design artifacts into operational software
Enable a new model of collaborative product development where AI and humans co-create, validate, and ship features through structured automation
Shape how Smarsh designs, builds, and governs software in an intelligent, spec-first engineering ecosystem

Skills

Key technologies and capabilities for this role

PythonGoTypeScriptPlatform EngineeringDevOpsAISoftware Engineering

Questions & Answers

Common questions about this position

What experience level is required for this Platform Engineer role?

The role requires 5+ years of experience in software engineering, platform engineering, or DevOps automation.

What programming languages and technical skills are needed?

Strong programming skills in Python, Go, or TypeScript are required, along with proficiency in Kubernetes, Terraform, CI/CD systems like Argo or GitHub Actions, policy-as-code (OPA), and software supply chain security.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this a remote position or what is the location policy?

This information is not specified in the job description.

What makes a strong candidate for this role?

Candidates with proven architectural thinking, experience in AI-assisted workflows and agent orchestration, deep SDLC knowledge, and the ability to design modular systems for spec-to-execution automation will stand out.

Smarsh

Archiving and compliance solutions provider

About Smarsh

Smarsh provides archiving and compliance solutions specifically designed for financial services, government agencies, and other regulated industries. Their main product is a cloud-based archive that allows organizations to securely store, search, and manage their communications data, including emails, text messages, and social media interactions. This system helps businesses meet complex security, data privacy, and regulatory requirements. Smarsh differentiates itself from competitors by offering a scalable Software-as-a-Service (SaaS) model that caters to both large enterprises and smaller organizations, ensuring that clients can adapt to evolving regulations. Their goal is to help organizations efficiently manage their communication data, identify risks, and maintain compliance, particularly through tools like Connected Capture for Microsoft Teams, which supports remote workforces.

Portland, OregonHeadquarters

2001Year Founded

$42.4MTotal Funding

BUYOUTCompany Stage

Enterprise Software, Cybersecurity, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Health Insurance

Dental Insurance

Life Insurance

Disability Insurance

Unlimited Paid Time Off

Paid Vacation

Paid Sick Leave

Paid Holidays

Hybrid Work Options

Stock Options

401(k) Company Match

Employee Assistance Programme

Wellness Program

Adoption Assistance

Group Income Protection

Group Life Assurance

Maternity Leave

Paternity Leave

Workplace Pension Scheme

Monthly Wellness Allowance

Company Bonus

Risks

Integration with OpenAI's API may pose compliance and security challenges.

EU's AI Act requires significant adjustments to Smarsh's AI systems.

Expansion into Latin America may expose Smarsh to regional instability.

Differentiation

Smarsh offers cloud-native, context-aware archiving solutions for regulated industries.

The company integrates with popular tools like Microsoft Teams for seamless compliance.

Smarsh serves 9 of the top 10 banks, showcasing its industry trust.

Upsides

Smarsh's global expansion includes a new office in Costa Rica for enhanced support.

Integration with OpenAI's ChatGPT API enhances Smarsh's AI compliance capabilities.

Partnership with Verizon simplifies mobile compliance procurement for Verizon's clients.

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