> Markdown version of [/jobs/ext/4334551-senior-software-engineer](https://www.wearedevelopers.com/jobs/ext/4334551-senior-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - **Company:** eClerx LLC - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $150,000 - $200,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software System Penetration Testing, Microsoft Azure, Code Review, Continuous Integration, Data Infrastructure, DevOps, Python (Programming Language), Key Management, Load Testing, Machine Learning, OAuth, Open Source Technology, OpenID, Security Assertion Markup Language (SAML), Software Engineering, Data Logging, Data Processing, Snowflake, Backend, Information Technology, Human in the Loop, Docker, Databricks - **Published:** October 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b0cf7e3223b43edf ## About the Role * Bachelor's or master's degree in computer science or software engineering. * 5-8 years of full-stack engineering experience and evidence of products reaching real customers. * Proficiency in Python (or a comparable language) and at least one modern backend stack. * Hands-on experience building agentic workflows, including tool use, orchestration, multi-step reasoning, and human-in-the-loop review. * Practical AI application experience, including evaluation and an understanding of failure modes. * Depth in AWS, the ability to work in GCP and Azure, and experience with Databricks, Snowflake, or a comparable data platform. * Experience taking early software to production, including identity, credentials, security, deployment, and reliability. * Experience guiding junior engineers through design decisions and code review. * Judgment about security and compliance controls in regulated and enterprise environments; high agency, proactive problem solving, and clear cross-team communication. Preferred Qualifications * Familiarity with Docker and DevOps practices, including CI/CD pipelines, environments, and release processes. * Familiarity with fine-tuning models and with up-to-date AI models and their capabilities. * Experience supporting a client security audit or penetration test. * Client-facing experience, including technical discovery or presentation. * Exposure to financial services, including financial crime and compliance (FCC), know your customer (KYC), or anti-money laundering (AML); or to communications, media, telecommunications, finance and accounting industries. * Startup or early-stage product experience. * Publications in top journals, teaching or mentoring experience, or open source contributions. In the US, the target base salary for this role is $150,000-$200,000. Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factors ## Description * Design, build, and evaluate agentic workflows and integrations, and move strong demonstrations toward production. * Assess demos and MVPs against client deployment requirements, then lead the full-stack work to close the gaps, including features, APIs, user workflows, and integrations with enterprise data environments. * Design production architecture for resilience, covering retries, idempotency, queues, failure isolation, and scaling, and run performance and load testing with cost in mind. * Build in identity and security from the start: SSO with the client's identity provider (SAML or OIDC), OAuth2, role- or attribute-based access control, secrets management, privacy, auditability, and data handling. * Own infrastructure as code and CI/CD, including environment promotion, containers, and repeatable deployments. * Build observability: structured logging, metrics, tracing, alerting, and runbooks. * Coordinate with domain specialists, solution builders, and the product team, documenting decisions for an operational handoff. * Guide junior engineers to choose optimal solutions while following industry guidelines. * Stay current with developments in AI and in the industries you serve.