{"id":4272419,"url":"https://alion.io/job/sailpoint-staff-software-engineer-4","title":"Staff Software Engineer","company":{"id":4926,"name":"SailPoint","domain":"sailpoint.com","url":"https://alion.io/company/sailpoint","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":30,"ghost_share":0.033,"stale_share":0.533,"repost_share":0.1,"time_to_fill_p50_days":32,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-11-13T18:15:24Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T18:15:24Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"This role is based in Pune. This location works on a hybrid model, 2-3 days in the office. You will be required to interview in person.\nAbout SailPoint:\nSailPoint is defining the next era of identity security. Our unified, AI-powered platform seamlessly secures both the Human Fabric of your workforce and the Agentic Fabric of AI and non-human identities, completely eliminating organizational blind spots.\nBuilt on core principles like zero-standing privilege and contextualized risk, our platform transforms identity from a vulnerability into a strategic business advantage. Today, we are trusted by some of the largest, most complex organizations in the world to deliver intelligent, autonomous identity security at scale.\nAbout the Role:\nAs a Senior Software Engineer focused on Technical Partner Integrations, you will spearhead technical exploration, rapid prototyping, and proof-of-concept (POC) integrations with strategic technology partners such as AWS, Google, Snowflake, Anthropic, and OpenAI. In this role, you will bridge product strategy and engineering execution by rapidly building, testing, and validating integrations to determine what should be productized into core SailPoint solutions.\nYou will explore modern agentic workflows and AI-driven platforms, designing flexible integration templates and ensuring all prototypes adhere to SailPoint's engineering architecture and AWS platform standards. When a POC demonstrates high customer value, you will lead the technical transition to core product engineering teams for full-scale development and GA launch.\nAbout the Team:\nYou will join the Product Acceleration Team, working closely with Product Management and technical partner leads while maintaining strong alignment with SailPoint's India engineering organization. Our team is fast-paced, collaborative, and innovation-focused, operating at the intersection of emerging AI technology, ecosystem partnerships, and enterprise identity security. You will work closely with a US based team, so therefore need to be available to work 4-5 overlapping US hours each working day.\nRoadmap for Success:\n30 Days\nComplete SailPoint onboarding and familiarize yourself with our core architecture, AWS platform stack, and development workflows.\nGain a deep understanding of SailPoint's agentic identity security capabilities, integration framework, and current partner roadmap.\nEstablish relationships with Product Management, Technology Partnership leaders, and core engineering counterparts in Pune.\n60 Days\nBuild, deploy, and evaluate your first partner integration POC in a sandbox environment.\nEstablish standard templates, documentation, and evaluation criteria for validating partner technical feasibility and product viability.\nActively engage in technical discovery discussions with strategic technology partners.\n90 Days\nDeliver end-to-end prototypes for 2-3 priority partner integrations (such as cloud data or AI platform partners).\nEstablish a streamlined handoff process to package successful POCs, architecture diagrams, and code artifacts for core engineering teams.\nPresent technical findings and product recommendations to product and engineering leadership.\n6 Months\nLead technical architecture and development for complex, multi-party integrations involving agentic AI and non-human identity frameworks.\nServe as the primary technical authority for partner integration feasibility across high-priority partner ecosystems.\nSuccessfully transition at least one major integration prototype into core product engineering for formal productization.\n1 Year\nDefine the long-term technical blueprint and framework for rapid partner integration prototyping at SailPoint.\nExpand SailPoint's ecosystem reach by continuously identifying, testing, and onboarding next-generation technology integrations.\nMentor team members and drive best practices for partner engineering, API design, and integration testing across the organization.\nRequirements:\nBachelors degree in related field, or equivalent professional experience.\n5+ years of professional software engineering experience designing, building, and deploying scalable distributed systems and RESTful APIs.\nDemonstrated hands-on experience building third-party SaaS, cloud, or developer platform integrations.\nStrong proficiency in modern programming languages such as Java, Python, or Go.\nSolid experience with AWS cloud infrastructure, microservices architecture, and modern DevOps/CI/CD pipelines.\nFamiliarity with agentic workflows, AI/LLM integration patterns, and data platforms (e.g., Snowflake, Google Cloud Platform, OpenAI/Anthropic APIs).\nExcellent communication and cross-functional collaboration skills, with the ability to translate partner technical capabilities into product requirements.\nStrong problem-solving abilities and comfort working in an ambiguous, fast-paced prototyping environment.\nBe open to working 4-5 overlapping US hours each working day\nAI-assisted engineering:\nOur engineers are expected to use AI development tools as a core part of their daily workflow, not as a novelty. We expect you to use these tools to accelerate delivery, expand your scope, and raise the quality bar, while applying strong engineering judgment to review, validate, and own everything that ships under your name. Comfort with prompting, agentic workflows, and human-in-the-loop review of AI-generated code is a baseline expectation for this role.\nAI related Technology:\nCursor, Claude Code\nPython-based AI/ML frameworks and libraries such as scikit-learn, pandas, and numpy\nDeep Learning Frameworks such as PyTorch\nLLMs and Foundation Models in Bedrock, VertexAI, or similar\nSailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.\nAlternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact  or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. 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