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60 Smarsh Java Support Engineer Jobs Hiring Near You

Smarsh

Senior Software Engineer, Python + AI Platform

OR · On-site +1

$121K - $163K/yr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Support multi-tenant architecture. Contribute to tenant-aware services, role-based access, SSO ...

Smarsh

Software and Integration Architect

... that support them. This includes the systems responsible for provisioning all Smarsh products ... Operate as a technical leader of the team, working alongside the Sr. Full Stack Developer and ...

Smarsh

Solutions Engineer

OR · Remote

$115K - $135K/yr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Beyond supporting active opportunities, you'll help strengthen a growing sales team by providing ...

Smarsh

Solutions Engineer

Portland, OR · On-site

$115K - $135K/yr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Beyond supporting active opportunities, you'll help strengthen a growing sales team by providing ...

Smarsh

HR Systems Engineer (Mid-Level)

OR · Remote

$100K - $115K/yr

Smarsh is seeking a Mid-Level HR Systems Engineer to support and maintain the HR technology ecosystem, including BambooHR, Lever, Lattice, ADP, and related platforms. This role starts by gaining deep ...

Smarsh

Linux DevOps Engineer

Portland, OR · On-site

The Smarsh DevOps team is seeking a Linux Engineer to work closely with the development team to ... The DevOps team is responsible for production monitoring and support of our applications, as well ...

Smarsh

$195 - $260/hr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Support multi-tenant architecture. Contribute to tenant-aware services, role-based access, SSO ...

Smarsh

Senior Software Engineer, Python + AI Platform

$124K - $167K/yr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Support multi-tenant architecture. Contribute to tenant-aware services, role-based access, SSO ...

Smarsh

DevOps Team Lead

Portland, OR · On-site

$56 - $76.50/hr

The Smarsh DevOps team is seeking a DevOps Team lead to work closely with the development, QA and ... The DevOps team is responsible for production monitoring and support of our applications, as well ...

Smarsh

Linux Systems Engineer

Portland, OR · On-site

Smarsh is looking for a Linux Systems Engineer to join our Technical Operations team. The ideal candidate should have the right mix of technical support skills, customer urgency and passion for ...

Smarsh

Lead Data Scientist

Atlanta, GA · On-site

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the ...

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the ...

Smarsh

OR

$137K - $167K/yr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Functional architects / Flow specialists, CPQ specialists, Admins and developers. * Create space ...

Smarsh

Lead Data Scientist

OR · Remote

$180K - $200K/yr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the ...

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$180K - $200K/yr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the ...

Smarsh

Lead Data Scientist

OR · On-site +1

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Collect, analyze, and interpret small/large datasets to uncover meaningful insights to support the ...

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Infographic showing various Java Support Engineer job openings at Smarsh in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 47% Physical, and 53% Remote job distribution.

Senior Software Engineer, Python + AI Platform

Smarsh

OR • On-site, Remote

$121K - $163K/yr

Full-time

Posted 8 days ago

Job description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Smarsh is hiring a senior backend/platform engineer to build and scale agentic AI systems for enterprise use. You will build fast-moving, early-stage Python services that integrate AI capabilities into a production agentic platform. Your scope spans workflow execution, scale, reliability, and platform hardening as we grow.

This is not a generic backend role. The focus is building and designing agentic systems, shipping working software, and solving hard platform problems in a fast-moving AI-native environment. You will join a small, high-velocity cross-functional group and own problems end to end, designing and building from scratch, making fast architectural calls, and driving ideas from whiteboard to working system with a small, high-agency team.

What will you do?
  • Drive backend development for AI workflows as part of a collaborative team. Build and evolve Python/FastAPI services powering core agentic workflows and platform capabilities.
  • Productionize LLM integrations. Implement systems around Bedrock usage, quotas, retries, failover, cost controls, model configuration, and approval constraints.
  • Design for security and compliance. Address customer data handling, tenant isolation, auditability, observability, and secure processing for regulated workloads. Apply auditable data design patterns to ensure AI outputs are traceable, reproducible, and built to withstand regulatory scrutiny.
  • Build for scale. We're a nimble team, but our enterprise customers process data at petabyte scale. Help the platform grow to meet that bar through async job orchestration, performance tuning, and data-layer optimization.
  • Support multi-tenant architecture. Contribute to tenant-aware services, role-based access, SSO integration, and admin/reporting capabilities.
  • Improve platform reliability. Add monitoring, tracing, alerting, and operational tooling for LLM pipelines, workflow execution, and report generation.
  • Build real-time capabilities. Design and implement real-time event delivery and pub/sub patterns to support live workflow state, notifications, and agent feedback loops.
  • Contribute to technical decisions. Partner on shared services decisions, platform architecture, and integration boundaries across the stack.
  • Work across ambiguity. Translate evolving product requirements and non-functional requirements into practical technical solutions with product, architecture, legal, and security stakeholders.
  • Champion code quality. Drive strong typing, automated testing, and continuous integration practices that keep the team fast and safe.
  • Design typed API contracts. Own the API surface as a product contract: designing clean, schema-driven APIs that support typed client generation and reliable integration across services.

What will you bring?
  • Strong Python backend engineering. 7+ years professional software development, including 5+ years building Python services in production. Deep experience with APIs, async processing, background jobs, and workflow orchestration.
  • Cloud-native backend experience. AWS experience, ideally with services relevant to secure enterprise workloads (compute, storage, networking, CI/CD, identity, secrets, encryption).
  • Production distributed systems. Proven ability to productionize complex backend systems with reliability, observability, retries, throughput, failure handling, and performance tuning.
  • Data-intensive system design. Strong knowledge of PostgreSQL, large-scale data processing patterns, indexing, query tuning, and batch/stream tradeoffs. Experience with retrieval-augmented generation (RAG), vector search, and embedding-based systems is required (not a plus).
  • Security and compliance mindset. Experience with multi-tenant systems, RBAC, audit logging, secure data handling, and regulated environments.
  • Strong ambiguity handling. Ability to work from partial requirements and shape implementation around product and non-functional requirement constraints.
  • Agentic workflow engineering. Hands-on experience building LLM-driven workflows: tool-calling, state machines, human-in-the-loop approval patterns, checkpoint/resume, and multi-step agent orchestration. Familiarity with frameworks like LangGraph or equivalent.
  • AI-native engineering. Experience working on or alongside AI-native engineering teams, where AI agents are first-class participants in the development workflow, not just productivity tools. Includes hands-on prompt engineering, eval design, and LLM cost optimization: caching strategies, token efficiency, and model selection tradeoffs.
  • Product mindset. Bias for shipping, learning from real usage, and making pragmatic tradeoffs grounded in customer problems.
Strong Pluses
  • LLM / AI platform experience. Bedrock, OpenAI, Anthropic, LangChain/LangGraph, prompt workflows, evals, tool-calling systems. Experience integrating external AI services safely and reliably.
  • Identity and access. SSO/SAML/OIDC, enterprise auth patterns.
  • Graph-shaped data and entity resolution. Experience with graph-backed data models, entity deduplication, mention linking, and building systems that reason over connected, structured records.
  • Observability stack. OpenTelemetry, tracing, metrics, alerting, cost/usage dashboards.
  • Regulated communications or compliance domain. Background in systems that handle sensitive communications, audit trails, or data subject to legal or regulatory review is a meaningful differentiator.
  • Infrastructure as code. Terraform, feature flags, canary deployments, release strategies.
$195,000 - $260,000 a year
The salary range above represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
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