6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential.
Our People:
People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers. We want 6sense to be the best chapter of your career.
Role Overview :
We are looking for a Sr. Software Engineer to join our Core Integrations team. You will design, build, and scale the integration platform that connects our product ecosystem with third-party systems — and you will do it with AI as a first-class tool throughout your workflow.
Core Technical Requirements :
Java (Advanced): 6+ years of production Java experience. Deep knowledge of JVM internals, concurrency, memory management, and the Java ecosystem (Spring Boot, Hibernate, Maven/Gradle). Comfortable writing idiomatic, performant, maintainable Java code without hand-holding.
Integration Patterns: Solid understanding of REST, GraphQL, gRPC, webhooks, event-driven architecture (Kafka, SQS, etc.), and common data formats (JSON, XML, Avro, Protobuf). Experience building and maintaining APIs consumed by external partners.
Distributed Systems: Working knowledge of microservice design, fault tolerance patterns (circuit breakers, retries, idempotency), and observability (structured logging, tracing, metrics).
Data & Storage: Experience with relational databases (schema design, query optimization, migrations) and familiarity with NoSQL stores.
AI Adoption Across the SDLC :
This is not optional — we expect SSE to model strong AI-augmented engineering practice:
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Uses AI coding assistants (e.g., Claude Code, Copilot) fluently for code generation, refactoring, and debugging — not just autocomplete.
Writes and iterates on prompts to produce high-quality, review-ready code and tests.
Applies AI in design: uses LLMs to explore architectural tradeoffs, draft tech specs, generate ADRs, and sanity-check approaches.
Integrates AI into testing: generates comprehensive test suites, edge-case matrices, and fuzz inputs.
Uses AI for operations: log analysis, alert triage, root-cause summarization, runbook generation.
Understands the limits of AI output — reviews critically, catches hallucinations, and does not ship AI-generated code without verification.
Adaptability & Polyglot Engineering :
Python : Comfortable reading, writing, and shipping Python — particularly for scripting, data pipelines, or ML-adjacent tooling. No need to be an expert, but must be willing to own Python services without friction.
Polyglot mindset : Picks up new languages and frameworks as the job demands. Evaluates the right tool for the problem rather than defaulting to comfort.
Infrastructure awareness : Familiar with cloud-native deployment (AWS/GCP/Azure), containerization (Docker/Kubernetes), and CI/CD pipelines.
Engineering Excellence :
Ownership: Takes end-to-end accountability for features — from requirements to rollout to monitoring. Does not need a manager to define done.
Technical leadership: Drives design reviews, writes clear tech specs, mentors IC2/IC3 engineers, and raises the quality bar for the team.
Collaboration: Works closely with product, data, and partner teams to understand integration requirements and translate them into robust technical solutions.
Reliability focus: Thinks about failure modes first. Instruments everything. On-call capable and takes SLAs seriously.
Communication: Can explain complex integration problems to non-technical stakeholders without losing accuracy.
Nice to Have :
Experience with CRM/MarTech integrations (Salesforce, HubSpot, Marketo, etc.) or B2B data platforms.
Familiarity with OAuth, SAML, or enterprise authentication patterns.
Contributions to open-source projects or public technical writing.
Experience in a team that ships ML-powered features or works alongside a data science team.
Our Benefits:
Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.
We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.
Equal Opportunity Employer:
6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com.
We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com
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