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Senior Backend Python Jobs in Oregon (NOW HIRING)

Smarsh

Senior Software Engineer, Python + AI Platform

OR · On-site +1

$121K - $163K/yr

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 ...

Hex Technologies

Software Engineer, Backend (Platform)

OR · On-site +1

$198K - $295K/yr

About the role We are looking for a Senior or Staff-level software engineer to join our Backend ... Using DuckDB to enable seamless data interoperability between Python and SQL code written by our ...

Rave

Senior / Lead Backend Engineer

Portland, OR · On-site

We are looking for an awesome backend engineering lead to join our team! This person will extend ... Experience with Python Additional Information Experience that will help you hit the ground running ...

Rave

Senior / Lead Backend Engineer

Portland, OR

We are looking for an awesome backend engineering lead to join our team! This person will extend ... Experience with Python Additional Information Experience that will help you hit the ground running ...

Nextdoor

Senior Software Engineer - Backend

OR · On-site +1

$165K - $250K/yr

Meet Your Future Neighbors As a Senior or Staff Software Engineer at Nextdoor, you'll join a ... Python/Django * Kotlin / JVM * Go * SQL * GraphQL * Redis * Postgres * Kafka * AWS * Mentoring a ...

Pindrop

Senior Software Engineer (Authentication)

OR · On-site +1

$122K - $161K/yr

... backend services and APIs using Go and Python, with an emphasis on secure, low-latency ... As a senior engineer, you'll have the opportunity to influence architecture, raise technical ...

Alivo

Senior Software Engineer

Portland, OR · On-site

$129K - $171K/yr

Build backend services using Python and FastAPI * Develop frontend functionality using React * Own ... senior individual contributor experience Company Sponsored Insurance Offerings * Health * Vision

Webflow

Senior Staff Software Engineer

OR · On-site +1

$122K - $161K/yr

Set the long-term technical vision and architecture for backend systems powering experimentation ... Have a strong technical foundation across multiple programming languages such as Python, Java, or ...

The Motley Fool

Senior Next.JS Developer (Contract)

OR · On-site +1

$54.50 - $72/hr

As a Senior Software Developer, you'll be working on a fast paced team responsible for the code ... Understanding of backend development using Python * Experience with AWS * Experience working with ...

Planet

Senior Software Engineer, Storage Infrastructure

OR · On-site +1

$122K - $161K/yr

We're looking for a Senior Software Engineer to help evolve this platform. You'll work across the ... Go, Python, or similar modern languages building production backend services and APIs * Fluency ...

Worky

Senior Full Stack Engineer

Bend, OR · On-site

POSITION Full-time Senior Full Stack Engineer Note This is not a fully remote position. If you do ... backend technologies and runtimes (e.g., Node.js, .NET / C#, or Python) and RESTful API design.

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Senior Backend Python information

What does a senior backend Python developer do?

A Senior Backend Python Developer designs, builds, and maintains the server-side logic of web applications using Python. They are responsible for creating robust APIs, optimizing databases, ensuring application security, and integrating third-party services. In addition, they often mentor junior developers, contribute to architectural decisions, and collaborate closely with frontend and DevOps teams. Their work ensures that applications are scalable, reliable, and efficient. Senior developers typically have several years of experience and deep knowledge of Python frameworks like Django or Flask.

What are the key skills and qualifications needed to thrive as a senior backend Python developer?

To thrive as a Senior Backend Python Developer, you need expertise in Python programming, strong knowledge of backend frameworks (such as Django or Flask), and experience with database management, often backed by a degree in computer science or equivalent experience. Familiarity with version control systems like Git, containerization tools like Docker, cloud platforms (e.g., AWS), and possibly certifications in cloud or Python technologies are common requirements. Outstanding problem-solving skills, effective communication, and the ability to mentor junior developers help set top performers apart. These competencies ensure the development of robust, scalable, and maintainable backend systems that support business objectives.

What are some common challenges senior backend Python developers face when working on large-scale systems?

Senior Backend Python developers working on large-scale systems often encounter challenges such as ensuring application scalability, maintaining code quality across distributed teams, and optimizing performance for high traffic. Balancing the integration of new features with legacy system constraints can also be demanding. Effective communication and collaboration with frontend teams, DevOps, and product managers are crucial for delivering reliable and maintainable backend solutions.

What is the difference between Senior Backend Python vs Backend Developer?

AspectSenior Backend PythonBackend Developer
Required CredentialsBachelor's in CS or related, 5+ years experience, Python expertiseBachelor's in CS or related, 2-4 years experience, Python knowledge
Work EnvironmentTech companies, startups, enterprise systemsTech firms, startups, software agencies
Employer & Industry UsageUsed across industries requiring scalable backend solutionsCommon in web development and software services
Search & Comparison IntentUnderstanding senior roles, responsibilities, salaryEntry to mid-level backend roles, skill requirements

Senior Backend Python professionals typically have more experience, advanced skills, and leadership responsibilities compared to Backend Developers. They often work on complex systems, mentor junior staff, and have a broader understanding of architecture. Backend Developers focus on building and maintaining backend services with less emphasis on leadership or strategic planning.

Senior Backend Python jobs near you
Infographic showing various Senior Backend Python job openings in Oregon as of July 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.

Senior Software Engineer, Python + AI Platform

OR • On-site, Remote

Smarsh
Software Development • 1 - 5K employees
Learn more about Smarshexternal

$121K - $163K/yr

Full-time

Posted 24 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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