Senior Software Engineer, Biggy Engineering

Location requirements: Remote based role. Open to candidates in the United States. About the Role: Biggy Engineering is building BigPanda’s generative AI platform for IT Operations: AI-powered incident response, prevention, automation, knowledge retrieval, workflow execution, and operational intelligence. We are expanding what enterprise IT teams can do with AI, not just making existing workflows slightly faster. This is an early-stage product environment inside an established enterprise company. We move quickly, work directly with customers, make pragmatic tradeoffs, and prioritize shipping differentiated customer value over perfect process. Engineers on this team are expected to operate with extreme ownership, high urgency, and a strong bias for action. The ideal candidate is a strong product-minded software engineer with hands-on AI experience, not a research-first ML profile. We care most about agency, judgment, output, speed, customer empathy, technical depth, and the ability to turn ambiguity into working software. This role is informed by the Biggy engineering scope already demonstrated across full-stack systems, APIs, workflow orchestration, secure ingestion, vector database indexing, automation frameworks, agent workflows, and direct customer collaboration. Responsibilities Build production-grade software across backend services, APIs, web applications, workflow systems, AI agents, enterprise integrations, and automation platforms. Architect and implement AI-native capabilities using LLMs, prompting, tool calling, agent orchestration, RAG, vector search, knowledge graphs, embeddings, and structured/unstructured enterprise data. Use AI coding platforms such as Cursor, Claude Code, and similar tools as a core part of your development workflow to increase speed, exploration, and delivery quality. Write high-quality prompts for development, debugging, product behavior, agent execution, data extraction, reasoning workflows, and customer-facing AI experiences. Own features from concept through delivery, including customer discovery, technical design, implementation, manual validation, release, bug resolution, and iteration. Work directly with customers, GTM, product, and other engineers to identify high-value problems and translate them into product capabilities. Make pragmatic tradeoffs between speed, quality, reliability, cost, latency, scalability, and customer impact. Move fast in ambiguous problem spaces without hiding behind process, excessive documentation, or prolonged design debates. Manually validate AI and product behavior with care, especially where automated tests and evals are insufficient for probabilistic systems. Respond rapidly and transparently to bugs, regressions, and customer-impacting issues. Collaborate through paired development, design discussion, code review, debugging, and direct technical debate. Help raise the team’s bar for velocity, technical judgment, ownership, and customer-focused execution. What We’re Looking For Strong software engineering fundamentals across backend, full-stack, distributed systems, APIs, or product engineering. Hands-on experience building AI-enabled product capabilities with LLMs, RAG, vector databases, embeddings, agents, workflow automation, knowledge systems, or related technologies. Strong practical prompting skills, including prompt iteration, context design, tool-use instructions, structured outputs, and failure-mode analysis. High proficiency with modern AI development tools such as Cursor, Claude Code, ChatGPT, or similar platforms; you should already be using AI to materially improve your engineering output. Ability to architect and build agent systems that can reason, retrieve context, call tools, execute actions, handle errors, and operate safely in enterprise environments. High agency: you learn what you need to learn quickly, make forward progress independently, and do not wait for someone else to define every step. Extreme ownership: you care about outcomes, customer impact, reliability, and follow-through, not just completing assigned tickets. High velocity: you are motivated to ship, learn, and iterate quickly while maintaining sound engineering judgment. Customer curiosity: you want direct exposure to users and are comfortable using customer feedback to shape priorities. Product judgment: you can distinguish between what is technically interesting and what creates meaningful customer value. Healthy conflict: you can challenge weak ideas directly while remaining considerate, collaborative, and low-ego. Comfort with uncertainty, changing priorities, incomplete requirements, and fast iteration cycles. Excitement about applying AI to real enterprise IT Operations problems, not just building demos. Technical Areas You May Work In TypeScript / Node.js backend services Fastify or similar API frameworks React / Next.js customer-facing applications Slack and Microsoft Teams applications Agent workflow engines and action execution systems RAG pipelines, vector databases, embeddings, and retrieval systems Knowledge graphs and enterprise knowledge modeling Prompt engineering, context engineering, and tool-use design ServiceNow, ITSM, monitoring, alerting, and incident management integrations Data ingestion, indexing, synchronization, and unstructured data processing S3, SQS, Lambda, and AWS-based service architecture Authentication, authorization, OAuth, SSO, API keys, and RBAC Incident response, change risk, and incident prevention use cases (domain knowledge/awareness) You’ll Thrive Here If You are a builder with urgency. You do not hesitate when faced with ambiguity, hard problems, unfamiliar technology, or customer pressure. You take things head-on, figure out what needs to be learned, use every tool available to move faster, and drive the work to completion. You are comfortable building a strong MVP quickly, putting it in front of users, learning from feedback, and improving it. You care about architecture, but you do not use architecture as an excuse to slow down. You value direct communication, high standards, fast feedback loops, and meaningful customer impact. This May Not Be the Right Role If You need fully defined requirements before starting, prefer long design cycles before implementation, are uncomfortable with direct customer interaction, or do not want AI tools deeply embedded in your daily engineering workflow. It may also not be a fit if you prefer narrow ownership, low ambiguity, low conflict, or optimizing mature systems more than inventing new product capabilities. Why This Role Matters Biggy is one of BigPanda’s most strategic product initiatives. We are building AI capabilities that change how enterprise IT Operations teams understand incidents, prevent outages, automate workflows, and make operational decisions. A strong Senior Software Engineer on this team will directly influence product direction, customer outcomes, engineering velocity, and the pace at which BigPanda brings differentiated AI capabilities to market. About Us: BigPanda is a fast-growing, values-driven, global company that enables Tech Ops teams to keep the digital economy running. BigPanda’s AI-driven IT operations (aka AIOps) platform transforms IT data into insight and action. By eliminating IT noise, automating incident management, and keeping our customers’ digital services up and running around the clock, we become a mission-critical part of our customers’ IT operations. With BigPanda, some of the world’s largest enterprises including Hulu, Cisco, United, and many others are able to reduce costs and increase efficiencies, accelerate business velocity, and deliver extraordinary customer experiences. BigPanda is backed by top-tier investors including Sequoia, Mayfield, Battery, Insight Partners, Advent International, and Greenfield Partners. We have an awesome team of motivated, knowledgeable, fun-loving, and friendly Pandas. We provide comprehensive health coverage, parental leave, competitive cash and equity compensation, and a supportive, collaborative, and innovative environment to empower you to do the best work of your career. Our Benefits: Competitive equity Remote-first environment Unlimited PTO Twelve (12) paid holidays throughout the year Comprehensive health benefits #PandaParent support. Financial assistance for fertility, adoption, and surrogacy expenses, plus up to eighteen (18) weeks of fully paid leave for birthing parents and up to twelve (12) weeks for non-birthing parents. Financial planning services Employee learning & development budget Values-based recognition (quarterly and annually) Social community & ERG programs Dog friendly office Lunches provided in office Flexible work environment along with a work-from-home stipend to support remote work arrangements Values-based culture Please note that visa sponsorship is not available for this position. Market competitive salary with an anticipated base compensation range of $187,000 - $220,000. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location BigPanda offers a generous total rewards package that includes base pay, bonus, equity, and a world-class benefits program. We run two (2) compensation review cycles per year to ensure that managers can recognize employees without much lag between achievement and reward. All of this builds toward the best compensation we can give to anyone: the ability to develop your skills each and every day. BigPanda has a significant focus on career development that is at the core of our employee experience. BigPanda is proud to be an Equal Employment Opportunity workplace employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Note: BigPanda is an E-Verify Employer If you need assistance or an accommodation due to a disability, you may contact us at [email protected].