As a Senior MuleSoft Engineer, you will design and deliver API-led integration solutions on Anypoint Platform — directly with clients, from discovery through go-live. You'll drive architecture decisions, protect margin through scope discipline, and build the kind of trusted client relationships that turn one engagement into many.

What You'll Own

You will be the technical owner of your client engagements — not a resource assigned to a ticket queue. That means:

• Client Delivery Ownership: Lead integration programs end-to-end for external clients — from discovery and estimation through SOW shaping, stakeholder alignment, and delivery KPIs (on-time, on-budget, CSAT).
• Stakeholder Management (exec → dev): Navigate the full relationship stack. Translate architecture trade-offs to executives, earn trust with engineering teams, and keep both sides aligned throughout delivery.
• Scope Discipline: Anticipate risk early, communicate trade-offs clearly, and protect margin through change-order discipline — without damaging the relationship.
• Autonomous Execution: Own your calendar, your estimates, and your commitments. No one will chase you for updates. You surface risks before they surface you.

Key Responsibilities

Technical Delivery

• Lead technical design, implementation, and deployment of large-scale MuleSoft integration and API solutions (CloudHub 2.0, Runtime Fabric, Anypoint MQ, Flex Gateway, or on-prem).
• Develop and maintain DataWeave scripts, Mule flows, and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins).
• Enforce architectural and security standards (RAML/OAS, OAuth2, JWT, TLS, encryption).
• Monitor and optimize integrations for performance, scalability, and maintainability.

Client-Facing Services Delivery

• Lead discovery sessions, shape estimates, and contribute to SOW development — you are the technical voice in the room with the client.
• Own delivery KPIs: on-time rate ≥90%, estimate variance ≤±15%, client satisfaction scores that earn repeat business.
• Proactively communicate status, risks, and decisions — updates go out without being asked.
• Build trusted relationships that make scope conversations easier, not harder.
• When scope creeps (and it will), you call it — with a path forward, not just a flag.

Leadership & Collaboration

• Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
• Operate as a peer, not a manager — lift standards through quality of work and direct feedback.

Innovation & AI

• AI as Your Default Toolchain: You reach for your AI-enabled IDE, LLM-based assistants, and AI-powered static analysis before anything else — not as a shortcut, but because better tools produce better outcomes. You don't write code you can automate reviewing.
• Integration Workflows, Augmented: You actively prototype and deploy AI/LLM services inside integration solutions — summarization, document parsing, intelligent transformation, synthetic test data generation.
• Advance automation with AI-assisted code review and LLM-based development platforms to accelerate delivery and lift code quality across the team.

Ways of Working

• The best engineers here don't wait to be told what to do next. They already know. You set direction, track your own commitments, and communicate proactively — without a layer between you and the client.
• WIP stays at ≤2 concurrent workstreams. You know what's at risk before your teammates do.
• If you've always been three steps ahead of your own deadlines, you'll feel right at home.

Required Qualifications

• Consulting Services Experience: 3–5+ years delivering integration programs for external clients — leading discovery/estimation, shaping SOWs, managing stakeholders from exec to dev, and owning delivery KPIs. This is non-negotiable. Internal IT delivery experience does not substitute.
• Client-Facing Ownership: Proven track record of managing client relationships through the full engagement lifecycle — including difficult scope and change-order conversations that preserve both trust and margin.
• API & Microservices Architecture: Expert in designing, implementing, and maintaining distributed, scalable API-led solutions using MuleSoft and industry-standard patterns.
• MuleSoft Platform Mastery: Advanced hands-on with Anypoint Platform, including DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, and Anypoint MQ.
• Autonomous Execution: Demonstrated ability to self-govern in flat, PM-free consulting environments — independently scoping, prioritizing, and delivering without hand-holding. If you've only worked in highly structured orgs, be honest with yourself about this one.
• AI/LLM Tools & Automation: You don't just tolerate AI tools — you seek them out. Cursor, LLM-based assistants, AI-powered static analysis — these are in your daily rotation, not your LinkedIn bio.
• DevOps, CI/CD & Automation: Strong experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), containerization (Docker/Kubernetes), and cloud-native deployment strategies.
• Security & Integration Standards: Advanced knowledge of RAML/OAS, OAuth2, JWT, TLS, and encryption best practices.
• Programming Proficiency: Skilled in Java and Node.js, with the ability to refactor legacy codebases into clean, maintainable solutions.
• MuleSoft Certifications: MuleSoft Certified Developer – Level 1 required; Architect or Integration Professional certifications strongly preferred.

Preferred/Bonus

• Experience integrating Salesforce, AWS, or other SaaS/ERP platforms.
• Familiarity with event-driven architectures (Kafka, Pub/Sub).
• Hands-on experience or strong interest in AI/ML pipeline design or integration.

Who We Are:

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

A Sr. Data Scientist serves as a technical authority and strategic leader within the Data Science team, driving the highest-impact data science initiatives across Bandwidth. They own and lead complex, ambiguous end-to-end data science projects, from opportunity identification and problem framing through model deployment and business adoption, ensuring measurable impact on revenue, efficiency, and competitive differentiation. They act as a force multiplier by setting technical standards, shaping data science strategy, and elevating the capabilities of the broader team through mentorship, code review, and thought leadership. They also partner with senior executives, product leadership, and cross-functional teams to embed data-driven decision-making into Bandwidth's core business processes and long-term strategy.

What You'll Do:

• Drive end-to-end ownership of high-complexity, high-visibility data science projects, independently navigating ambiguity from problem definition through production deployment and business impact measurement.
• Architect and implement advanced machine learning systems, including supervised and unsupervised learning, deep learning, ensemble methods, and large-scale optimization, applying rigorous evaluation to ensure production-grade reliability and performance.
• Define and champion best practices for model development, validation, deployment, and monitoring; establish technical standards that elevate quality and consistency across the team.
• Translate ambiguous, strategic business challenges into well-scoped data science problems; lead discovery processes with senior stakeholders to align on objectives, constraints, and success criteria.
• Deliver executive-level data-driven narratives that communicate the strategic value of data science, influencing senior leadership and cross-functional decision-makers to drive resource allocation and organizational alignment.
• Serve as a technical lead and primary mentor for intermediate and junior data scientists, conducting code reviews, establishing growth plans, and fostering a high-performance team culture.
• Proactively identify emerging opportunities to apply new techniques, including cutting-edge research, novel architectures, and industry-leading tools to advance Bandwidth's competitive position.
• Partner with data engineering, software development, and platform teams to design scalable data and AI infrastructure that enables reliable, high-throughput machine learning workflows at enterprise scale.
• Oversee model performance, data quality, and system health in production environments; lead root-cause analysis and implement robust solutions for drift detection, retraining, and performance degradation.
• Lead the design and implementation of CI/CD pipelines for AI projects, enabling rapid iteration, reproducibility, and safe deployment practices.
• Represent the Data Science function in cross-departmental working groups, product planning sessions, and strategic initiatives requiring deep analytical expertise.

What You Need:

• Education:  
  • Bachelor's degree in Mathematics, Statistics, Computer Science; graduate degree in Data Science or other quantitative field is preferred.
• Experience: 
  • 7+ years of directly related data science experience, with a demonstrated record of independently delivering impactful, production-grade ML/AI solutions; or a graduate degree plus 5+ years of equivalent experience.
  • Prior experience in a technical lead or informal management capacity is strongly preferred.
• Skills:
  • Expert-level proficiency in Python, with deep knowledge of the data science and ML ecosystem including pandas, NumPy, scikit-learn, TensorFlow, PyTorch, and MLflow or equivalent MLOps tooling.
  • Advanced mastery of statistical inference, experimental design, and machine learning, including hypothesis testing, causal inference, regression, classification, clustering, deep learning architectures, and model evaluation at scale.
  • Expert knowledge of data structures, SQL, and distributed data processing frameworks (e.g., Spark, BigQuery, Snowflake); strong familiarity with REST APIs and cloud-based ML platforms (AWS, GCP, or Azure).
  • Demonstrated ability to independently define, scope, and deliver solutions to ambiguous, high-stakes business problems through data mining, analytics, statistical modeling, and predictive systems.
  • Exceptional communication and executive presence; proven ability to convey complex technical concepts and strategic insights to product leadership and non-technical audiences in a compelling, business-focused manner.
  • Strong leadership and organizational skills with a track record of mentoring teams, driving cross-functional alignment, and managing multiple high-priority initiatives in a fast-paced environment.
  • Proven ability to influence without formal authority, building consensus and driving adoption of ML/AI solutions across diverse stakeholders.

Bonus Points:

• Familiarity with big data technologies such as Kafka, Flink, Hadoop, Spark, or distributed computing frameworks for processing and analyzing large-scale datasets efficiently.
• Experience with MLOps tooling and production ML system design, including feature stores, model registries, and monitoring frameworks.
• Experience in telecommunications, SaaS, or communications technology industries.

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

• 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
• All new hires receive four weeks of PTO.
• PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
• Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
• “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
• 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.