Top Senior Engineer Jobs in Denver & Boulder, CO

Leads the design, integration, and delivery of production-grade AI, generative AI, agentic AI, and MLOps solutions for clients. Serves as technical lead, translates requirements into scalable architectures, mentors engineers, manages technical risks and timelines, supports sales proposals, and presents recommendations to stakeholders. Responsibilities include application integration, security, observability, evaluation, model serving, documentation, testing, and operational readiness.

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.

Design and implement C++ features for MongoDB’s replication infrastructure, improving availability, recovery, consistency, performance, and fault tolerance. Diagnose distributed-systems issues, develop comprehensive tests, collaborate across engineering teams, participate in design and code reviews, and mentor junior engineers. The role involves owning technical work from investigation through delivery and contributing to major MongoDB releases.

Develop and maintain Salesforce applications, Apex, Lightning Web Components, APIs, and integrations across payment, credentialing, exam, tax, and finance systems. Troubleshoot production issues, manage high-volume data, maintain security controls, and deliver tested changes through CI/CD. Collaborate with cross-functional Agile teams on technical designs, estimation, and implementation while evaluating Salesforce releases and using AI-assisted development tools.

Build AI-powered applications for enterprise customers using Generative AI, LLMs, MongoDB, and modern software architectures. Responsibilities include refactoring applications, migrating legacy databases, optimizing performance, developing microservices and intelligent automation, supporting AI adoption, and influencing product strategy. The role collaborates with engineering, product, and customer teams to deliver scalable solutions and requires substantial enterprise software engineering experience.

Develop and maintain MongoDB server workload resilience infrastructure in C++ or Rust. Design workload policies for rate limiting, prioritization, overload mitigation, availability, and performance. Write unit and integration tests, investigate failures, improve observability, diagnose and fix complex distributed-system issues, and lead technical projects. Collaborate across engineering teams, mentor junior engineers, participate in hiring, and improve operational readiness, monitoring, incident management, and rollout processes.

Provides L2/L3 support, administration, monitoring, troubleshooting, and optimization for cloud contact center platforms including Five9, NICE CXone, Webex Contact Center, and Cognigy. Resolves voice, routing, IVR, integration, reporting, and agent issues; manages incidents, changes, SLAs, root-cause analysis, documentation, and customer communications. Participates in 24/7 operations, on-call rotations, major incident response, maintenance, automation, and continuous service improvement for enterprise managed-services customers.

Develop and automate validation tests for next-generation SSD products. Translate requirements and standards into reusable test content covering functionality, performance, power, interoperability, stress, and negative scenarios. Build Python-based tools and CI workflows, execute tests across hardware and operating system configurations, investigate failures, document defects, support qualification, and collaborate with firmware, hardware, systems, and product teams to improve reliability and coverage.

Leads systems engineering for satellite ground systems supporting a national missile tracking program. Responsibilities include requirements derivation and traceability, system architecture, concept of operations, integration, verification and validation, milestone reviews, technical risk management, and performance tracking. The role coordinates cross-functional teams, government stakeholders, and subject matter experts while architecting command-and-control, mission operations, telemetry, data processing, and network infrastructure solutions for ground-to-space mission support.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Build and secure generative AI platforms, predictive risk models, real-time automation pipelines, and dashboards for Third Party Risk Management and broader GRC use cases. Develop RAG architectures, agentic workflows, evaluation frameworks, guardrails, and continuous evidence-collection systems. Apply Python, compliance frameworks, quantitative risk methodologies, and cloud-native security practices to transform fragmented vendor risk data into actionable forecasts and executive reporting.

Lead development of scalable Java software applications and high-availability services. Design architectures, solve complex system challenges, improve performance and scalability, and maintain quality standards. Collaborate cross-functionally, mentor junior engineers, own technical initiatives, address support-driven issues, and implement robust testing practices for mission-critical IT operations products.

Design, develop, and enhance scalable Java software for NinjaOne’s IT Operations platform. Lead architectural decisions, build high-availability services, address scalability and technical debt, improve quality practices, collaborate across teams, mentor engineers, and own technical initiatives supporting millions of endpoints and servers.

Lead development of scalable Java applications and high-availability services. Design system architecture, solve complex scalability challenges, improve quality, mentor engineers, collaborate cross-functionally, and own technical initiatives supporting a global IT operations platform.

Build and enforce workload safety standards across Affirm’s Amazon EKS fleet. Responsibilities include Kubernetes resource management, workload isolation, disruption handling, cluster capacity analysis, policy automation, production debugging, incident response, fleet-wide rollouts, technical leadership, mentoring, and measuring infrastructure impacts on availability, latency, risk, and cost.

Develop and maintain a globally distributed advertising server and buying platform. Responsibilities include full-stack design, coding, testing, releases, production support, code reviews, technical planning, troubleshooting, and collaboration across teams. The role requires Java backend development, asynchronous programming, database and SQL expertise, algorithmic problem-solving, and management of competing priorities. Ad technology and header bidding experience are preferred.

Own Salesforce architecture and GTM systems for Marketing, Sales, and Customer Success. Design scalable solutions, govern multi-instance Salesforce, support quote-to-cash and AI-driven GTM builds, build automation (Flows, Apex, LWC), integrate Salesforce tools, lead stakeholder alignment, and manage end-to-end implementations from discovery through rollout and adoption.

Design, build, and operate scalable batch and streaming data pipelines, lakehouse and warehouse models, and data services. Own datasets end to end, improve Snowflake, Iceberg, Spark, and Flink performance and reliability, implement governance and observability, and support graph-serving data models. Partner with product and engineering teams, participate in on-call, review code and designs, and mentor junior engineers.

Design, operate, and scale SailPoint’s AWS-based Kubernetes infrastructure and service mesh for a global, mission-critical SaaS platform. Responsibilities include cluster architecture, networking, security, GitOps, CI/CD, observability, capacity planning, incident response, compliance, and platform standards. The role influences engineering teams globally, participates in 24x7 on-call support, leads service mesh strategy, and improves reliability, performance, deployment efficiency, and operational practices.

Lead the development of an AI-powered platform for senior mental health, building systems for patient experience, and mentoring the engineering team.

Design and implement application security controls across cloud environments, assess cloud architectures for vulnerabilities and identity risks, conduct security reviews and penetration testing, monitor security events, support incident response, and develop cloud security requirements. Translate technical findings into remediation recommendations, interpret risk data, collaborate with clients, and mentor junior team members.

Leads pre-silicon ASIC design verification across methodology, test planning, SystemVerilog/UVM testbench development, scoreboards, checkers, functional coverage, regression triage, and sign-off. Develops automation and applies AI-assisted tools to improve verification. Provides technical mentorship, supports leadership development, and drives VLSI innovation. The role focuses on high-quality verification of block and integration-level designs in a distributed team environment.

Leads program-level systems engineering for advanced space and mission systems across architecture, requirements, integration, verification, and validation. Serves as technical authority, manages system-level budgets and technical baselines, leads multidisciplinary engineering teams, coordinates stakeholders and suppliers, and owns major technical gate reviews. Uses MBSE and requirements tools to ensure traceability and verification throughout the program lifecycle. Requires extensive customer engagement, technical leadership, presentations, and mentoring.

Lead program-level systems engineering for advanced space and mission systems. Define mission objectives, system architecture, requirements baselines, technical budgets, trade studies, interfaces, and verification activities. Coordinate multidisciplinary teams, customers, suppliers, PMO, and engineering organizations through design, integration, validation, and operations. Lead major technical reviews, manage requirements traceability using MBSE, support risk processes, present to senior audiences, and mentor systems engineers.

Architect, build, deploy, and scale production AI agents and platforms for legal workflows. Develop secure, reliable, and cost-effective AI solutions; prototype and evaluate agents; optimize performance; redesign business processes; and collaborate with Legal, Data, Security, Privacy, and Engineering teams. Contribute to AI training, governance, responsible AI adoption, and enterprise standards while translating technical capabilities into measurable business outcomes.