Principal Software Engineer, Platform Services (PMTS)

The job

LIVE Live feed (private-sector employer) Source: The Muse public API · Data: listed 2026-10-30

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category
Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience

Design, build, and maintain the backend services, APIs, data-platform automation, and AI platform / agent systems behind our data products. This is a backend-heavy role: distributed Python services, streaming. LLM/agent runtimes on AWS, RAG pipelines, and the dbt/Airflow automation that powers a Snowflake-based lakehouse.

You will work inside the Developer Experience team, whose mandate is to build the tooling, "paved paths," and automation that let internal data teams ship discoverable, governed, and consumable data products quickly and safely.

About the platform you'll work on

• Lakehouse & warehouse - Snowflake with Apache Iceberg tables in a medallion architecture (Bronze → Silver → Gold → Semantic Views).
• Transformation - dbt (Cloud on Fusion) with data contracts, tag-driven governance, and automated project-evaluation checks.
• Orchestration - Airflow on AWS MWAA; DAGs and schedules authored and deployed through platform tooling and CI (metadata driven).
• Developer tooling - an internal CLI and reusable utilities (dbt, Iceberg operations, Snowflake load, REST API based ingestions, etc.) that abstract the platform for data teams.
• Data quality & governance - Monte Carlo for data observability (monitors as code) and centralized governance (tagging, lineage, PII classification, cataloging).
• AI layer - Agent/MCP/Skill deployment framework, RAG, semantic router / broker agents, over our data products and catalog metadata; conversational agents in Slack; model access via AWS Bedrock / AgentCore, centralized LLM Gateway, and Snowflake Cortex.
• Cloud & delivery - AWS (ECS Fargate, Lambda, API Gateway, DynamoDB, S3, IAM, etc.), Terraform IaC, GitHub Actions CI/CD, containerized builds, structured logging, metrics, and tracing.

• Backend servicesDesign, build, and maintain backend services in Python / Go to support our Data Platform Services - Agent runtimes on AWS Bedrock AgentCore / ECS Fargate, and event-driven Lambda handlers for our AI Platform ServicesDesign and maintain our abstraction layers for for our data domain customers via custom developed utilitiesMaintain and service our infrastructure using IaC (Terraform) for our AWS accounts
• AI / agentsBuild RAG pipelines and tool-calling AI agents for our data products: retrieval, orchestration, grounding/citations, and evaluation.Integrate model providers with our LLM Gateway with response streaming, prompt caching, and structured outputs in an auditable way (OTeL)Stand up eval harnesses, guardrails, and tracing so agent quality, latency, and cost are measurable and regressions are caught before release.
• Data-platform automationBuild and maintain data-platform automation: dbt services, MWAA/Airflow orchestration, and tooling that makes data products discoverable, governed, and consumable.Extend the platform CLI and shared utilities that data teams use as their day-to-day interface to the platform.
• Identity & securityImplement auth and identity: OAuth/OIDC flows (per-user 3LO, token vaulting, session binding), least-privilege IAM, and secrets management.Enforce multi-tenant isolation and per-user identity/RBAC across services and agents.
• Reliability & deliveryOwn service reliability and delivery: Terraform, GitHub Actions CI/CD, container builds, structured logging, metrics/tracing, alerting, and cost controls.Set technical direction: system and API design, code review, and mentoring.

• Backend engineering15+ years designing, building, and maintaining production backend services at scaleExpert-level Python / Go / Java for server-side development; solid grasp of relevant frameworks and the WSGI/ASGI model.Service & API design: REST (and/or gRPC), request/response and streaming patterns, pagination, versioning, idempotency, and backward-compatible contracts.Data layer: SQL and data modeling, query optimization and indexing, transactions, connection pooling; relational, warehouse (Snowflake), and NoSQL/key-value (DynamoDB) stores.Server-side patterns: caching strategies, background jobs/workers, queues and event-driven processing, rate limiting, retries/backoff, and timeouts.Performance & reliability: profiling, load handling, latency/throughput trade-offs, graceful degradation, and designing for failure.Observability: structured logging, metrics, distributed tracing, and debugging live production issues.
• Software engineering fundamentalsOOP (required): encapsulation, abstraction, inheritance, composition, polymorphism; SOLID principles; design patterns applied pragmatically; strong domain modeling.Solid data structures & algorithms; ability to reason about time/space complexity.Concurrency & async programming (async/await, threading, event loops) and their failure modes.Testing (unit, integration, end-to-end) and testable design; Git and PR-based workflows; disciplined code review.
• Cloud & infrastructureProduction AWS: ECS/containers, Lambda, IAM, API Gateway, DynamoDB.Infrastructure as code with Terraform; CI/CD (GitHub Actions or equivalent) and container builds.
• Distributed systemsBuilding services that are horizontally scalable, resilient, and loosely coupled; handling consistency, retries, idempotency, and partial failure.
• SecurityOAuth/OIDC, authn/authz, token handling, least-privilege access, multi-tenant isolation, secrets management.
• AI / LLM engineeringBuilding LLM applications in production (not research).RAG: chunking, embeddings, vector search, hybrid search, reranking, grounding/citations, context-window management, retrieval evaluation.Agents: prompt engineering, tool use/function calling, structured outputs, single- and multi-step orchestration, prompt caching.Integration with model providers - Anthropic/Claude, AWS Bedrock/AgentCore, Snowflake Cortex - and response streaming.AI quality & ops: eval harnesses, guardrails, tracing/observability, token/latency/cost optimization.AI security: prompt injection, data exfiltration, PII handling, per-user identity/RBAC enforcement.

• dbt, Airflow/MWAA, Snowflake hands-on experience.
• MCP (Model Context Protocol) and/or applied RAG.
• Slack platform (Bolt, Socket Mode, Block Kit) or other real-time/conversational backends.
• Data observability (Monte Carlo) or data-quality/governance tooling.
• Fine-tuning/adaptation, semantic caching, or model routing/fallback.
• Experience adding AI capabilities to existing production systems.
• Iceberg / open table formats and lakehouse patterns.
• Tableau or other BI integration.

Explore around this job

Field: Technology Sub-niche: Software engineering All jobs at Salesforce Jobs in California Jobs in San Francisco, CA San Francisco city guide California state guide San Francisco County economy

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About the role

This is a Senior Level role in the Technology field (Software engineering) at Salesforce. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.

We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.

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How to prepare and behave

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• Read the whole description and match your examples to its requirements; use the same words the posting uses where they are true for you.
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• Answer with short stories: the situation, what you did and the result. Give numbers when you have them and never invent them.
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The city

The job is in San Francisco, CA. Below is what the official statistics say about living and working there.

How San Francisco compares. Among the 145 largest places in California, San Francisco is #4 by population, #139 for homeownership (#1 = highest), #20 for remote work (#1 = most), #25 for college degrees (#1 = most). Its county, San Francisco County, is #3 of 58 counties for average pay ($174,103).

The place in numbers

San Francisco has 830,235 residents (ACS 2020–2024), about 2.1% of the population of California. It covers 47 square miles of land, which works out to roughly 17,784 people per square mile. The median age is 40.0, 6% older than the state median (40.0 against 37.9).

Housing

The median gross rent is $2,476 a month (rent plus utilities), 22% above the state median ($2,476 against $2,036). Over a year that is 21.1% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $1,394,500, which is 9.9 times the median household income ($140,970); a ratio above 5 usually means buying is out of reach without savings or a second income. 38.2% of households own their home, 32% below the state average (38.2% against 55.9%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.

Work and pay

The San Francisco-Oakland-Fremont, CA metropolitan area has 2,373,920 jobs in the BLS wage survey, and the median pay across all occupations is $74,260 a year, 46% above the national median ($74,260 against $50,980). The biggest occupation groups are office and administrative support (226,320 jobs, median $62,120); management (223,100 jobs, median $176,340); business and financial operations (207,030 jobs, median $112,960). The area is most specialised in computer and mathematical (1.9 times) and life, physical, and social science (1.8 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($176,340) and computer and mathematical ($167,770). In 2026M09 the unemployment rate of San Francisco County was 4.0%. 69.6% of residents aged 16 and over are in the labour force. The city lies in San Francisco County; its jobs, pay by industry and GDP are on the county page.

Getting around

Among workers, 28.6% drive alone, 18.7% use public transit, 9.3% walk, 31.0% work from home. 21.6% of workers commute 45 minutes or more, 11% above the state average (21.6% against 19.4%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.

People and education

60.3% of adults aged 25 and over hold a bachelor's degree or higher, 63% above the state share (60.3% against 37.1%). 34.0% of residents were born outside the United States, 26% above the state share (34.0% against 27.0%). The poverty rate is 11.2%, 7% below the state rate (11.2% against 12.0%).

Climate

The warmest month is Sep, averaging 59°F (14.9°C), and the coolest is Apr at 53°F (11.6°C). About 515 mm (20 inches) of precipitation falls in a year; Dec is the wettest month (112 mm) and Jul the driest (2 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.

Nearby cities to compare

Closest cities in this guide: Daly City (31 miles, rent 3% higher); Pacifica (31 miles, rent 25% higher); San Bruno (34 miles, rent 12% higher); Millbrae (36 miles, rent 32% higher). Rent differences are against San Francisco; use the Compare tab to put any two cities side by side.

Full guide to San Francisco →California guideAll jobs in San Francisco

Official links for San Francisco

• Official website of San Francisco: sf.gov
• Census Bureau data profile for San Francisco
• Official website of San Francisco County: sf.gov
• Official state website: ca.gov
• BLS Economy at a Glance: California

These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.

Where to live

CITY Official statistics Source: U.S. Census Bureau, American Community Survey 2020–2024 5-year (via Census Reporter) · Data: ACS 2020–2024

Places within 50 miles (straight line) of San Francisco, CA that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.

Career paths

We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:

Cybersecurity (366) Data, analytics and AI (1991) Cloud, IT and infrastructure (504) Product management (412)

Distances

CITY Calculation (straight line) Source: U.S. Census Bureau Gazetteer (coordinates) · Data: 2024

How far San Francisco, CA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.

Nearby cities with open jobs (within 120 miles)

The employer

Salesforce is the employer in this listing. See all its open jobs here →

We do not hold headcount or revenue for this employer. Check its careers site and, if it is listed on a stock exchange, its public filings (SEC EDGAR search).

What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

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Similar jobs

Same sub-niche: Software engineering

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FAQ

What is the Principal Software Engineer, Platform Services (PMTS) job at Salesforce?

A senior level role in technology (software engineering) listed 9 days ago. The full description is on this page and on The Muse.

Where is this job?

San Francisco, CA.

How do I apply?

Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

Median rent in San Francisco is $2,476 a month and median household income $140,970 (ACS 2020–2024).

How old is this listing?

It was posted on 2026-10-30 (9 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse software engineering jobs in California.

Sources and terms

• Job data: The Muse public API (listing dated 2026-10-30). The job disappears from this site when it disappears from the source.
• Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
• City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

AtiveSite is not affiliated with or endorsed by The Muse, the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

• BLS OEWS (wages and employment by occupation, May 2025)
• BLS Employment Projections 2025–35
• BLS Local Area Unemployment Statistics
• BLS JOLTS
• BLS State and Metro Area Employment
• Census Bureau American Community Survey (via Census Reporter)
• BEA GDP by state and Regional Price Parities
• IRS 2026 tax adjustments
• U.S. Department of Labor, minimum wage by state
• Tax Foundation state income tax rates 2026
• USAJOBS
• USCIS
• U.S. Department of State, visas
• NASA POWER climatology
• GeoNames / Census Gazetteer (coordinates)