Software development jobs in the United States

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Added 3 mins ago
Sr. Software Engineer
Abbott Laboratories
Redwood City, CA · Madison, WI
This position can be based in our Madison, WI or Redwood City, CA office location
Added 5 mins ago
Manufacturing Systems Software Developer Intern
hemlocksem
Hemlock, MI
Hemlock Semiconductor is seeking a Software Developer Intern to join the IT Applications team. This role provides an opportunity to participate in enterprise application development,…
Added 6 mins ago
Pega Software Developer
Fusion Technology
United States
We are seeking a skilled and experienced PEGA Software Developer to join our dynamic team. The ideal candidate will have a strong background in PEGA development and will be responsible for…
Added 7 mins ago
Senior Curriculum/Web Developer
Cherokee Federal
United States
Professional development, training, and certification support
Added 7 mins ago
Software Engineer (IBM Cognos)
Highmark Health
Pierre, SD
This job is an integral member of an agile software engineer team responsible for building complex scalable software applications across all digital channels to serve our customers. The…
Added 7 mins ago
Hardware Systems Architect, AI Hardware Products
Meta
Pierre, SD
Communication experience working with Product Development engineers, Product Managers, and other hardware/software cross-functional teams
Added 7 mins ago
Associate Software Engineer
Valiant Solutions, LLC
Remote, United States
Valiant Solutions is hiring an Associate Software Engineer to build the internal apps, automations, and AI tools that help our staff work faster.
Added 8 mins ago
Senior Flight Software Engineer
Varda Space Industries
El Segundo, CA
The Senior Flight Software Engineer is responsible for determining how our spacecraft behaves and operates in orbit and building reliable software to ensure it happens. The team is…
Added 8 mins ago
Analyst-Application Developer-SR
Kinder Morgan
HOUSTON, TX
Adhere to Waterfall and AGILE software development life cycle & project management principles.
Added 9 mins ago
Sr. Software Development Engineer, Amazon Quick
Amazon Development Center U.S., Inc.
Seattle, WA
The Amazon Quick team is looking for an exceptional Software Development Engineer for a strategic new initiative. Amazon Quick is a generative AI–powered assistant that can answer…
Added 9 mins ago
Sr. Software Development Engineer, Amazon Quick
Amazon Development Center U.S., Inc.
Seattle, WA
The Amazon Quick team is looking for an exceptional Software Development Engineer for a strategic new initiative. Amazon Quick is a generative AI–powered assistant that can answer…
Added 9 mins ago
Software Development Engineer, Bespoke Solutions; ADC Hardware & Software Team
Amazon Development Center U.S., Inc.
Jessup, MD · Arlington, VA · Denver, CO · Herndon, VA
AWS seeks a Software Development Engineer with experience developing embedded software on custom hardware including the most advanced FPGA SoCs. They will help develop, integrate, and test…
Added 9 mins ago
Senior Software Engineer
SAIC
Remote, United States
SAIC is seeking an experienced Sr. Software Engineer/Oracle Application Developer to design, develop, maintain, and modernize our enterprise-level business systems. In this role, you will…
Added 10 mins ago
Staff Software Engineer, AI/ML, Google Cloud
Google
Sunnyvale, CA
8 years of experience in software development.
Added 10 mins ago
Staff Software Engineer, Infrastructure, Platforms Infrastructure Engineering
Google
Sunnyvale, CA
8 years of experience in software development.
Added 10 mins ago
Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer
ewminds consulting Services
Jersey City, NJ
(SVP) Senior Vice President, Infrastructure Engineering (Mainframe Communications Systems Software Engineer)
Added 13 mins ago
Software Engineer
Highmark Health
Remote, United States
This job is an integral member of an agile software engineer team responsible for building complex scalable software applications across all digital channels to serve our customers. The…
Added 14 mins ago
Senior Software Engineer, Frontend (Consumer - Payments)
Coinbase
Jefferson City, MO
Own end-to-end frontend development for core crypto money movement experiences, including send, receive, and transaction status tracking across web and mobile
Added 14 mins ago
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Senior Software Engineer - Networking
SimSpace Corporation
Remote, United States
- $160,000 to $225,000 USD / year
We are looking for a Senior Software Engineer, Greyspace, to design and develop a realistic, simulated internet for SimSpace cyber ranges. You will help build the services, networking, and…
Added 15 mins ago
Senior Software Engineer, ML Infrastructure
Gatik AI
Santa Clara, CA
…decisions demand, and characterize how behavior evolves across software releases and scenario…
Added 17 mins ago
Senior Software Engineer
Natera
Remote, United States
POSITION SUMMARY As a Senior Software Engineer at Natera, you will own the architecture, quality, and reliability of the systems you build. You bring deep expertise in designing scalable…
Added 19 mins ago
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Staff Software Engineer
Socure
San Francisco, CA · New York, NY · Seattle, WA
- $225,000 to $280,000 USD / year
We are looking for a Software Engineer – Backend Platforms and Agentic & ML Systems to help build the backend, artificial intelligence, and machine-learning foundations that power Socure’s…
Added 19 mins ago
Senior Systems Architect
GE Vernova International LLC
Remote, United States
Lead technical risk identification, interface management, and integration planning activities throughout proposal development, engineering, construction, commissioning, and operational…
Added 23 mins ago
Platform Software Engineer
Syllo
Remote, United States
Added 23 mins ago
Platform Software Engineer
Syllo
Remote, United States
Develop and refine developer tools to streamline workflows and reduce duplication of efforts in development environments. Ensure the platform meets rigorous testing and security standards…

Socure

Staff Software Engineer

San Francisco, CA, United States
New York, NY, United States
Seattle, WA, United States

$225,000 to $280,000 USD / year

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Job details

Pay: $225,000 to $280,000 USD / year
Posting language: English
Posted: Nov 13, 2026

Original job description

WHY SOCURE?

Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.

JOB OVERVIEW

We are looking for a Software Engineer – Backend Platforms and Agentic & ML Systems to help build the backend, artificial intelligence, and machine-learning foundations that power Socure’s agentic investigation systems.

This is a hands-on engineering role for someone who wants to work across backend services, distributed systems, AI agents, retrieval, machine-learning models, and production infrastructure. You will design, implement, test, and operate software that supports agent orchestration, asynchronous workflows, knowledge retrieval, model integration, evaluation, and reliable production operation.

You will contribute to systems supporting multi-step investigations across use cases such as watchlist review, sanctions and PEP matching, adverse-media analysis, fraud-ring correlation, case management, and other risk and compliance workflows.

A key part of the role is helping agents work with accurate, relevant, and timely domain knowledge. You will build capabilities that dynamically provide contextual information to agents, combine structured and unstructured data, support knowledge-graph and retrieval workflows, and preserve evidence and provenance for downstream decisions.

You will work with experienced engineers, machine-learning practitioners, product partners, and investigation experts to turn complex problems into dependable software. The role is calibrated for an engineer who can own well-scoped features and components, learn quickly, contribute to design discussions, and grow toward broader technical ownership.

JOB RESPONSIBILITIES

Design, implement, test, and operate backend services that support agent orchestration, task execution, state management, model integrations, and investigation workflows.
Build synchronous and asynchronous workflows for agent tasks, including queues, retries, resumability, cancellation, idempotency, scheduling, and failure recovery.
Contribute to agent frameworks and developer harnesses that support tool calling, structured outputs, reusable skills, actor-based workflows, human review, and policy-controlled execution.
Implement services that dynamically inject relevant knowledge into agent workflows based on investigation type, entity context, workflow state, customer policy, prior findings, and current task requirements.
Build domain-grounding capabilities that help agents distinguish authoritative facts, customer-defined policies, derived signals, hypotheses, and unverified observations.
Develop knowledge-ingestion and enrichment pipelines that normalize, classify, chunk, index, version, and refresh structured and unstructured data.
Implement retrieval workflows using combinations of semantic search, lexical search, metadata filtering, hybrid retrieval, reranking, entity-aware retrieval, and temporal filtering.
Contribute to knowledge-graph systems that represent entities, relationships, events, evidence, provenance, and risk signals.
Support graph traversal, multi-hop retrieval, graph-enhanced context assembly, and integration between graph, vector, search, document, and API-based data sources.
Implement context-selection logic that balances relevance, freshness, source authority, latency, tenant permissions, and model context limits.
Add safeguards against stale, contradictory, duplicated, irrelevant, poisoned, or unauthorized information entering agent contexts.
Build state and memory capabilities for agents, including short-term task state, investigation history, entity context, retrieval state, and provenance.
Integrate agents with internal APIs, identity and risk data sources, case-management systems, watchlist systems, model endpoints, webhooks, and event streams.
Develop secure connector and tool-execution patterns, including authentication, authorization, credential management, tenant isolation, audit logging, and sandboxed execution where appropriate.
Integrate machine-learning models used for classification, ranking, extraction, entity resolution, summarization, and other investigation-related capabilities.
Partner with machine-learning and data-science teammates on feature definitions, training data preparation, labeling strategies, dataset quality, model interfaces, and deployment workflows.
Contribute to model training, fine-tuning, and adaptation workflows, including dataset preparation, experiment tracking, evaluation, versioning, deployment, and rollback.
Implement model-serving and model-routing integrations that select models based on task requirements, latency, cost, quality, context, and data boundaries.
Improve system performance through caching, batching, parallel execution, retrieval optimization, context reduction, model selection, prompt optimization, and efficient inference configuration.
Build evaluation and regression tests for retrieval quality, grounding, citation correctness, model behavior, tool selection, workflow completion, and end-to-end investigation outcomes.
Create test cases covering domain-specific scenarios, ambiguous cases, adversarial inputs, policy variations, knowledge freshness, retrieval failures, and production incidents.
Instrument services with logs, metrics, traces, latency measurements, cost attribution, retrieval diagnostics, model-version tracking, and operational dashboards.
Use production telemetry, failed runs, investigator feedback, and evaluation results to improve prompts, tools, memory, knowledge sources, model behavior, and workflow design.
Participate in on-call and incident response for systems owned by the team. Help improve monitoring, service-level objectives, capacity planning, and recovery procedures.
Write technical designs, document implementation decisions, participate in code and design reviews, and communicate trade-offs clearly.
Collaborate with Product, Fraud and Risk, Investigation Operations, Platform Engineering, SRE, Security, Privacy, and Data Science.
Contribute to engineering standards for testing, observability, deployment, security, maintainability, and responsible AI development.

JOB REQUIREMENTS

REQUIRED QUALIFICATIONS

Bachelor’s or master’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Professional experience building software or backend services, including experience taking features from implementation through testing and production operation.
Experience with backend development, API design, service-oriented architectures, asynchronous programming, testing, debugging, and performance optimization.
Understanding of distributed-system concepts such as queues, retries, idempotency, timeouts, concurrency, partial failures, and service reliability.
Experience with a programming language used for backend or data-intensive systems, such as Python, Java, Go, TypeScript, or a comparable language.
Experience building applications that use large language models, AI agents, tool calling, retrieval-augmented generation, structured generation, or related generative-AI technologies.
Understanding of agent architecture, including orchestration, state transitions, task execution, tool use, context management, memory, human escalation, and observability.
Experience building backend services, agent components, developer tooling, data pipelines, or other reusable platform capabilities.
Experience grounding AI or agent workflows with domain knowledge, entity context, customer policies, case history, live data, model outputs, or other task-relevant information.
Practical understanding of retrieval concepts such as embeddings, vector search, lexical search, metadata filtering, hybrid retrieval, reranking, query expansion, or multi-stage retrieval.
Experience with one or more of the following: knowledge graphs, graph databases, entity graphs, graph traversal, graph-enhanced retrieval, entity resolution, ontology or schema design, provenance, or temporal data modeling.
Experience combining structured data, unstructured documents, search systems, vector retrieval, and live API-based data sources.
Understanding of context assembly and prompt-context construction, including relevance, freshness, source authority, permissions, context size, latency, and deduplication.
Working knowledge of machine-learning concepts, including supervised learning, classification, ranking, embeddings, feature engineering, model evaluation, data quality, and model drift.
Experience supporting machine-learning workflows such as dataset preparation, labeling, training, fine-tuning, experiment tracking, model evaluation, versioning, deployment, or monitoring.
Experience evaluating AI or machine-learning systems using offline datasets, regression tests, production monitoring, task-level metrics, or qualitative review.
Experience optimizing AI or ML systems for latency, throughput, cost, and quality through caching, batching, parallelism, retrieval optimization, context reduction, model selection, or inference configuration.
Experience with cloud infrastructure and containerized environments, preferably AWS and Kubernetes.
Experience with several of the following: relational databases, queues or event streams, object storage, caching systems, search platforms, vector databases, graph databases, and observability platforms.
Understanding of service authentication, authorization, secrets management, tenant isolation, data protection, and privacy-sensitive system design.
Ability to write maintainable, well-tested code and troubleshoot issues using logs, metrics, traces, debuggers, and other engineering tools.
Ability to break down technical problems, estimate work, identify dependencies, raise risks, and deliver features with appropriate guidance.
Strong written and verbal communication skills and an ability to collaborate effectively with engineering, product, data science, and operations partners.
Startup DNA required: you thrive in fast-moving, high-ambiguity environments and take ownership like a founder, not an employee.

PREFERRED QUALIFICATIONS

Experience building AI or machine-learning systems for fraud, identity, financial crime, compliance, trust and safety, investigations, or other regulated domains.
Experience with agent frameworks, model gateways, evaluation and tracing platforms, GraphRAG, enterprise search, MCP-style connectors, or custom orchestration systems.
Experience with AWS Bedrock, SageMaker, EKS, vLLM, GPU-backed inference, or comparable technologies.
Experience deploying fine-tuned or domain-specific models alongside larger managed models.
Experience with workflow engines, durable execution, distributed task processing, or long-running job orchestration.
Experience with graph databases or graph-processing technologies such as Neo4j, Neptune, OpenSearch, Elasticsearch, or comparable systems.
Experience building data-enrichment pipelines, entity-resolution systems, semantic search, knowledge platforms, or retrieval-augmented applications.
Experience with model monitoring, feature and data drift detection, experiment tracking, model governance, or responsible AI practices.
Experience improving agent and model behavior using traces, evaluation results, investigator feedback, retrieval diagnostics, and production failures.
Experience working with fraud, identity, risk, compliance, or other high-consequence data.
Contributions to reusable libraries, technical documentation, testing frameworks, architecture patterns, or engineering practices.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process - including interview or onboarding support - please reach out to your Socure recruiting partner directly.

YouTube https://www.youtube.com/c/Socure | LinkedIn https://www.linkedin.com/company/socure/ | X (Twitter) https://x.com/socureme | Facebook https://www.facebook.com/socure/

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Software development jobs in the United States

Sr. Software Engineer

Manufacturing Systems Software Developer Intern

Pega Software Developer

Senior Curriculum/Web Developer

Software Engineer (IBM Cognos)

Hardware Systems Architect, AI Hardware Products

Associate Software Engineer

Senior Flight Software Engineer

Analyst-Application Developer-SR

Sr. Software Development Engineer, Amazon Quick

Sr. Software Development Engineer, Amazon Quick

Software Development Engineer, Bespoke Solutions; ADC Hardware & Software Team

Senior Software Engineer