ScienceLogic

Role Description We're looking for a strong Data Scientist to join our growing Data Science team. We run a suite of small, locally-hosted language models in production — not a single frontier API. That deliberate architecture defines this role: each model is more constrained than a giant hosted one, so product quality comes from how well we evaluate, route, prompt, ground, and orchestrate the models we have. Your job is to get the best possible outcomes out of that suite. This is not classical predictive modeling. The object of measurement is the LLM system itself — its answers, retrieval, multi-step agent behavior, and reliability under adversarial and edge-case conditions. You'll define what "good" means for a non-deterministic system running on bounded local models, build the evaluation infrastructure that catches regressions, and turn interaction data into the analysis that tells engineering and product where to invest. You'll also build production prediction and trend capability — forecasting, anomaly detection, and early-warning signals over operational telemetry — that feeds directly into that system. You'll work across data scientists, ML/inference engineers, frontend, and product in an enterprise environment with real security and compliance constraints. Key Responsibilities - Design and own evaluation harnesses for LLM and agentic outputs — golden sets, regression suites, and rubric-based scoring. - Build and calibrate LLM-as-judge pipelines; validate judges against human labels and control for their bias and variance. - Define and track response-quality metrics: faithfulness/groundedness, hallucination rate, answer relevance and completeness, instruction-following, and persona adherence. - Curate, version, and grow evaluation datasets as the product and its surfaces evolve. - Benchmark the models in the suite against each other to decide which model handles which task, and quantify the quality cost of running smaller, local models versus larger alternatives. - Red-team the system: prompt injection, jailbreaks, tool-misuse, and edge-case discovery. - Design chaos and stress tests that probe model and agent reliability under degraded or hostile conditions. - Characterize failure modes and feed them back into guardrails and regression coverage. - Evaluate retrieval quality over the document corpus — recall@k, MRR/nDCG, context precision and recall — and run experiments on chunking, indexing, and hybrid retrieval strategies. - Analyze multi-step agent trajectories: tool-call correctness, trajectory efficiency, replayable-state inspection, and guardrail-breach behavior. - Assess intent classification and routing quality as measurable components, not black boxes. - Build standing evaluation that catches quality and behavioral regressions when a model in the suite is swapped, upgraded, or re-quantized, or when prompts and pipelines change. - Monitor output-distribution and quality drift in production; distinguish genuine regressions from noise on stochastic outputs. - Recommend and validate fixes through the levers available with local models — prompt changes, retrieval and grounding adjustments, routing changes, or model selection. - Build, ship, and own production models that forecast and surface trends from operational telemetry — capacity and resource forecasting, anomaly prediction, and early-warning signals on metrics and logs. - Take these from prototype to production and keep them healthy: deployment, monitoring, recalibration, and retraining as data and behavior shift. - Define accuracy and lead-time metrics that matter operationally — precision/recall on predicted incidents, forecast error, how far ahead a signal fires — not just offline scores. - Wire predictive signals into the LLM and agentic layer so forecasts and trends feed reasoning, advisories, and operator-facing recommendations. - Apply AIOps/NOC analysis where it's the product: log anomaly detection, event correlation, and root-cause and problem analysis. - Quantify the economics of the system — cost and token consumption per interaction, interaction-type taxonomies — and connect them to customer-facing value metrics like MTTR and operator-hours. - Communicate findings to engineering and product stakeholders through clear, in-context analysis. - Use LLM-assisted workflows to scale the work itself — drafting analyses, generating synthetic evaluation cases, and bootstrapping labeled data for human refinement. - Track and adopt state-of-the-art evaluation, retrieval, and agentic-analysis techniques; bring the useful ones into the team's workflow. Qualifications - Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, or a related field or equivalent experience. - 3+ years in data science, ML, or applied quantitative analysis. - Strong applied statistics, with the judgment to design sound experiments and significance tests on noisy, non-deterministic outputs (not just clean A/B conversion). - Experience building, deploying, and monitoring predictive or time-series models in production: forecasting, anomaly detection, or trend analysis, including recalibration as data shifts. - Demonstrated work evaluating, analyzing, or improving LLM or NLP systems: eval design, quality measurement, retrieval evaluation, or agent analysis. - Proficiency in Python. - Strong SQL and comfort querying large analytical datasets. - Fluency with foundation models and hands-on experience with the modern LLM evaluation and tooling layer — eval/harness frameworks, judge pipelines, and the libraries used to serve, prompt, and test models. - Ability to build analysis and visualization in code. Preferred Qualifications - Experience getting strong results out of small or self-hosted/local models under compute, memory, or latency constraints — quantization-aware evaluation, prompt and context optimization, or model routing. - Experience with retrieval-augmented systems and retrieval evaluation at scale. - Experience with agentic frameworks and tool-use/orchestration analysis, including human-in-the-loop and replayable-state patterns. - Familiarity with red-teaming or adversarial robustness for LLMs. - Domain background in IT operations — AIOps, NOC, ITSM, observability, or anomaly detection on logs and telemetry. - Experience with large-scale analytical and big-data stores. - Cloud experience for data science and ML workloads. - Exposure to enterprise security and compliance constraints in a delivery context. Benefits - Comprehensive medical, dental and vision plans. - 401(k) plan with employer match. - Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize. - Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization. - 5-year Service Milestone Sabbatical. - Paid parental leave. - Generous employee referral bonus program. - Pet insurance. - HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays. - Regular virtual company-wide events, including cooking classes, yoga, meditation and more. - The opportunity to learn and develop from some of the best and brightest minds in the industry!

Role Description We are looking for an experienced and hands-on Engineering Manager to lead Skylar AI teams. These teams are responsible for building and maintaining the high-throughput data pipelines, customer-facing AI features, and software. This includes managing the platform, and operationalizing AI to empower insights for our customer base. You’ll play a key role: leading a team of talented engineers, diving into problems, helping the engineers bring forward a good solution. Responsibilities - Team Leadership - Manage teams consisting of 4-10 total software engineers working on real-time data collection, processing, streaming, data warehousing, and automated analysis. - Foster a healthy team culture of trust, collaboration, accountability, and continuous improvement. - Provide mentorship, coaching, and career development for team members. - Guide team planning, own delivery commitments, and own execution quality. - Technical Contribution - Contribute hands-on to the design and problem solving for our services. - Collaborate with cross-functional teams on system architecture and integration with other platform components. - Drive improvements in reliability, performance, and observability of our telemetry stack. - Collaboration & Communication - Partner with Product Managers and other Engineering Managers to define roadmap and priorities. - Partner closely with related teams including our data science team, other engineering teams, and other similar teams. - Represent your team(s) in architecture reviews and planning sessions. - Communicate effectively with technical and non-technical stakeholders. - Provide regular status updates on progress. - Seek feedback and drive changes to improve our processes. Qualifications - 8+ years of experience in software engineering, with 2+ years in a management role. - Proficient in one or more programming languages such as Go, Python, Javascript, or Java. - Comfortable with agile development methodologies and managing projects using tools like Jira or similar. - Strong technical understanding of backend services, APIs, distributed systems, data pipelines, and production operations. - Experience with cloud-native engineering practices, including Kubernetes, containers, Helm, Docker, CI/CD, and Linux-based service deployment. - Familiarity with LLM-based systems, inference services, agentic AI workflows, or AI-assisted operations. Nice to Have - Strong experience in building distributed systems or telemetry/observability infrastructure. - Experience with AI technologies such as LLM fine tuning, classifiers, embeddings, etc. - Solid understanding of metrics, logs, traces, and time-series data processing. - Experience with OpenTelemetry (Otel) for collecting and exporting telemetry data. - Familiarity with cloud-native environments. - Experience working in AI platform, machine learning infrastructure, automation, observability, or operational intelligence organizations. - Experience with ClickHouse, Prometheus, OpenTelemetry Collector, Kubernetes operators, Helm charts, or telemetry data modeling. - Prior experience in managing high-scale telemetry systems in SaaS or infrastructure-focused companies. - Experience with other observability platforms or projects. Benefits - Comprehensive medical, dental and vision plans. - 401(k) plan with employer match. - Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize. - Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization. - 5-year Service Milestone Sabbatical. - Paid parental leave. - Generous employee referral bonus program. - Pet insurance. - HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays. - Regular virtual company-wide events, including cooking classes, yoga, meditation and more. - The opportunity to learn and develop from some of the best and brightest minds in the industry!

Role Description ScienceLogic is looking for a proven Sales Engineer with at least seven years of Sales Engineering experience in network monitoring/management or cloud services to join their established sales organization. You’ll work alongside our experienced Sales Engineers ensuring our systems are ready to demonstrate to potential customers how they can get the most out of their infrastructure through our hybrid cloud network monitoring solutions. Each day is going to bring new and exciting challenges your way; but with your ability to retain in-depth and hands-on product knowledge and your borderline geeky addiction to staying up to date with the newest industry standards, there isn’t a customer you can’t impress. No two days will be the same as a Sales Engineer with ScienceLogic, but here’s a sneak peek into some of the responsibilities you’ll have in the role: - Prove that ScienceLogic is the only vendor able to satisfy a prospect’s technical and business requirements in a Proof of Value (POV). - Document why ScienceLogic is different from the competition in emails, RFPs, and other files during the sales process. - Provide Tradeshow support. - Excellent communication and ability to develop rapport with the sales team is paramount. Qualifications - BS/BA degree in EE, CS, or related field and 7+ years’ experience in Sales Engineering in network monitoring/management or cloud services. - Ability to articulate complex topics to business or technical audiences. - Ability to translate technical advantages into business benefits. - Experience with Network and Systems Management systems. - Technical pre-sales experience working with ITOM, APM, ITSM. - Experience in an equivalent role for a technology firm. - Ability to travel and have a willingness to get the job done right by visiting customers face-to-face during critical points in the sales cycle. - Understand the daily pains of IT Operations personnel in today’s highly virtualized data centers as they migrate workloads to the cloud. - Proven or demonstrably dazzling presentation, speaking and writing skills. - Knowledge of: UNIX, TCP/IP, SNMP, Syslog, PowerShell, ITIL. - Knowledge in these areas a plus: Python, XML/JSON, YANG/NETCONF, Kubernetes. Benefits - Comprehensive medical, dental and vision plans. - 401(k) plan with employer match. - Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize. - Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization. - 5-year Service Milestone Sabbatical. - Paid parental leave. - Generous employee referral bonus program. - Pet insurance. - HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays. - Regular virtual company-wide events, including cooking classes, yoga, meditation and more. - The opportunity to learn and develop from some of the best and brightest minds in the industry!

• Architect complex data science, machine learning, and agentic AI systems end to end, from foundational capabilities through production deployment. • Personally build, validate, and deploy high-complexity predictive models and machine learning solutions that solve core business and customer problems. • Define enterprise-level best practices for AI/ML systems, experimentation, governance, model lifecycle management, observability, and responsible AI. • Bring technical leadership and decision ownership to ambiguous problems, helping the team clarify what to build, why it matters, and how success will be measured. • Establish practical guardrails for AI capabilities so user expectations are aligned with what can be delivered consistently, reliably, and with excellence. • Partner with Product, Engineering, UX, and senior leadership to ensure Data Science work is integrated into the broader product strategy and roadmap. • Clarify the Data Science charter across research, modeling, productization, and execution, ensuring the function is focused on the highest-value priorities. • Translate business needs, customer problems, and product goals into a coherent Data Science agenda. • Architect shared AI capabilities, frameworks, and standards that other teams can confidently build against and consume. • Improve collaboration, documentation, handoffs, and end-to-end testing across Data Science, Product, and Engineering. • Ensure AI and ML solutions are designed with the end user in mind, including how users will experience, trust, and act on the outcomes. • Partner with software engineering and DevOps teams to deploy models and AI capabilities into production environments. • Monitor model performance over time, recalibrating, optimizing, and improving systems as needed. • Design and implement A/B testing and experimentation frameworks to evaluate model effectiveness, user impact, and business value. • Strengthen production readiness practices, including testing, documentation, monitoring, explainability, and performance measurement. • Lead, manage, and develop a small team of data scientists, owning their growth, performance, prioritization, and career development. • Provide close technical guidance and management proximity to the work so the team has clear direction, coaching, and decision support. • Reduce unnecessary coordination burden on individual contributors by creating clearer ownership, decision rights, and operating rhythms. • Set technical and cultural direction across the team while influencing broader organizational capability. • Mentor senior technical talent, raising the bar on rigor, collaboration, communication, and delivery. • Grow the team through hiring, defining roles, raising the talent bar, and scaling the function as demand increases.

Role Description - Identify, qualify, and close new business opportunities within a defined territory of enterprise accounts. - Leverage prospecting strategies — including cold calling, networking, and social selling — to build a healthy pipeline of qualified opportunities. - Engage senior executives to understand business challenges, decision processes, and success metrics. - Articulate ScienceLogic’s value proposition, demonstrating how our platform solves key IT operations and business transformation challenges. - Partner cross-functionally with Sales Engineering, Marketing, Sales Operations, and Product teams to deliver high-impact customer engagements. - Execute proof-of-concepts and partner enablement plans to showcase business value and ROI. - Apply consultative and value-based selling methodologies (e.g., MEDDPICC, Challenger, or Solution Selling). - Accurately forecast pipeline and revenue based on realistic opportunity assessments. - Build long-term, trusted relationships with key stakeholders to support strategic account growth. - Maintain Salesforce hygiene by documenting account activity and tracking progress against quota and KPIs. Qualifications - 6+ years of direct enterprise software sales experience in ITOM, ITSM, NPM, APM, or related technology domains. - Experience utilizing a defined Sales Methodology (re: MEDDPICC, MEDDIC, Challenger, etc.) for business needs/business pain understanding. - Successful in finding and uncovering opportunities with net new and existing accounts, via creative prospecting tactics and hunting activities. - Full ownership of the end-to-end sales process. - Strong reputation for exceeding sales quota. - Bachelor’s degree or equivalent professional experience. - Proficiency with Salesforce CRM for managing pipeline and forecast accuracy. - Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Benefits - Comprehensive medical, dental and vision plans. - 401(k) plan with employer match. - Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize. - Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization. - 5-year Service Milestone Sabbatical. - Paid parental leave. - Generous employee referral bonus program. - Pet insurance. - HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays. - Regular virtual company-wide events, including cooking classes, yoga, meditation and more. - The opportunity to learn and develop from some of the best and brightest minds in the industry!

Role Description ScienceLogic is seeking a Senior Engineer, Developer Platform to improve our developer platform and tools. This role will focus on the creation and maintenance of our modern developer platform, leveraging Kubernetes, CI/CD, and cloud computing to empower our developers to create cutting-edge and innovative software systems. You will be working with a team of experienced engineers in the platform engineering, DevSecOps, and cloud architecture world. This role requires a driven and curious individual, willing to learn new technologies and experiment with development teams in order to find the latest and greatest tools to integrate into our workflow, as a driving force behind the software factory here at ScienceLogic. What you’ll be doing… - Developing tools and infrastructure for our development platform, including container platforms, CI/CD pipelines, and other analysis and engineering tools. - Develop our internal Kubernetes platform that fuels our developer workflows, including both hosting developer environments as well as our central tooling and systems. - Coordinate with developer teams to understand requirements and workflows. - Enforce best practices when it comes to container development, CI/CD pipelines, and general software engineering. - Work with an experienced and collaborative team, contributing to team discussions around technology choice, implementation, and architecture. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Cyber Security, or related fields with 3-5 years of relevant experience, or 5-8 years of relevant experience. - Ability to operate independently on tasks and own feature delivery from end-to-end. - Extensive experience with CI/CD platforms and developing pipelines (GitHub Actions preferred). - Extensive experience with Kubernetes, Helm, and container orchestration in production environments, particularly deployed as infrastructure-as-code (Terraform preferred). - Experience working in public cloud platforms (AWS preferred). - Experience developing software in object-oriented programming languages (Python or Go preferred). - Experience collaborating with a team of varied specialties and external collaborators. - Experience documenting best practices, architecture, and policies for consumption of both technical and non-technical roles. - Knowledge of monitoring, observability, and logging tools (Prometheus, Grafana, OpenTelemetry, etc.). - Understanding of DevSecOps principles, including secure build pipelines and compliance automation. Benefits - Comprehensive medical, dental and vision plans. - 401(k) plan with employer match. - Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize. - Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization. - 5-year Service Milestone Sabbatical. - Paid parental leave. - Generous employee referral bonus program. - Pet insurance. - HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays. - Regular virtual company-wide events, including cooking classes, yoga, meditation and more. - The opportunity to learn and develop from some of the best and brightest minds in the industry!

Role Description We’re seeking a Senior AI Platform Integration Engineer to join the Skylar initiative — ScienceLogic’s next-generation AI platform. This role focuses on designing, building, and supporting scalable internal APIs and integration services that connect partner engineering systems to Skylar’s intelligent automation layer. The ideal candidate is a strong backend and integration engineer with experience building secure, enterprise-grade APIs and distributed services in complex environments. You’ll collaborate closely with platform, infrastructure, and data engineering teams to deliver reliable integration patterns, scalable authentication and authorization solutions, and high-quality developer experiences across the Skylar ecosystem. If you enjoy solving problems at the intersection of APIs, identity systems, distributed platforms, and AI-enabled applications, this role offers the opportunity to make a meaningful impact on a rapidly evolving platform. Key Responsibilities - Design and implement scalable RESTful APIs and integration services that support Skylar’s AI and automation capabilities. - Contribute to integration standards and best practices for how internal teams expose data and services to the AI platform, including authentication, versioning, schema contracts, and access control. - Develop APIs with token-based authentication (JWT/OAuth 2.0) and endpoint-level authorization controls designed for both user-facing and automated workloads. - Support the implementation and evolution of Skylar’s RBAC model, including role definitions, permission structures, and policy enforcement patterns across a multi-tenant platform. - Assist with enterprise SSO integrations using SAML 2.0 and OpenID Connect (OIDC), including integration with identity providers such as Okta, Azure AD, or Ping Identity. - Partner with ATLAS (OTEL Platform), SPACE (Core Platform & Infrastructure), and Data Platform teams to align on API contracts, data semantics, and integration requirements. - Implement audit logging and observability practices for authenticated access, authorization events, and system activity across the integration layer. - Contribute to identity-aware request routing and session context propagation through Skylar’s platform infrastructure. - Design and maintain containerized integration services running on Kubernetes, including secure secret and configuration management practices. - Participate in technical design discussions, code reviews, and engineering documentation efforts. - Mentor junior engineers and contribute to engineering best practices across the team. Qualifications - 5+ years of backend or integration engineering experience in production environments. - Strong experience developing production services using Python (FastAPI, Flask) and/or Go. - Experience designing, building, and maintaining enterprise APIs and integration services. - Experience implementing authentication and authorization systems, including RBAC models and multi-tenant access patterns. - Hands-on experience with enterprise SSO protocols such as SAML 2.0 and OpenID Connect (OIDC), including integrations with providers like Okta, Azure AD, or Ping Identity. - Strong understanding of API security, schema validation, and data integration patterns across distributed systems. - Experience participating in technical design reviews and contributing to engineering documentation such as RFCs or ADRs. - Hands-on experience with Docker, Kubernetes, Git, and modern CI/CD practices. - Experience working collaboratively across engineering teams in a fast-paced environment. Preferred Qualifications - Experience with AI-enabled, agentic, or LLM-driven systems and service integrations. - Familiarity with API gateway technologies and authentication enforcement patterns such as rate limiting, token validation, and IP allowlisting. - Exposure to ClickHouse or other analytical databases. - Background in observability, infrastructure tooling, or AIOps platforms. - Familiarity with compliance and security best practices, including audit trail design and least-privilege access models in enterprise SaaS environments. - Strong communication and collaboration skills with the ability to work effectively across multiple engineering teams. Benefits - Comprehensive medical, dental and vision plans. - 401(k) plan with employer match. - Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize. - Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization. - 5-year Service Milestone Sabbatical. - Paid parental leave. - Generous employee referral bonus program. - Pet insurance. - HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays. - Regular virtual company-wide events, including cooking classes, yoga, meditation and more. - The opportunity to learn and develop from some of the best and brightest minds in the industry!

Role Description The Strategic Account Executive is responsible for the retention, expansion, and long-term strategic growth of one of ScienceLogic’s most significant global customer relationships. This customer is a leading Managed Services Provider and a critical strategic partner representing substantial annual recurring revenue. - Own the overall account strategy, including retention, expansion, and long-term partnership development. - Develop and execute a multi-year account plan focused on increasing platform consumption, broadening use cases, and expanding revenue. - Identify whitespace opportunities across business units, geographies, and service offerings. - Drive increased utilization of the ScienceLogic platform across the customer’s managed services operations. - Translate technical and organizational complexity into phased value paths that deliver measurable business outcomes. - Partner with Customer Success, Professional Services, Product, and Support to ensure adoption milestones are achieved. - Build and maintain a robust, qualified pipeline across existing and new stakeholders. - Generate opportunities through strategic prospecting, executive engagement, and business case development. - Expand ScienceLogic’s footprint into adjacent teams, business units, and executive sponsors. - Establish trusted relationships with senior executives, operational leaders, and technical stakeholders. - Conduct executive-level business discussions focused on operational efficiency, service innovation, and financial outcomes. - Position ScienceLogic as a strategic platform central to the customer’s managed services growth strategy. - Coordinate internal resources including Sales Engineering, Customer Success, Alliances, Product, and Executive Leadership. - Lead complex deal cycles involving technical validation, commercial negotiations, and contract execution. - Drive alignment and accountability across all stakeholders to achieve shared success. - Maintain accurate forecasting and opportunity management using MEDDPICC and Command of the Message methodologies. - Clearly identify risks, dependencies, and required executive actions. - Provide regular strategic updates to sales leadership. Qualifications - 8+ years of enterprise software sales experience with a strong track record managing large strategic accounts. - Demonstrated success selling to Managed Services Providers, systems integrators, or global channel partners. - Experience managing complex, high-value accounts generating multi-million-dollar annual revenue. - Strong executive presence and ability to engage Economic Buyers and senior decision-makers. - Proven ability to drive platform consumption and expansion within existing accounts. - Expertise in pipeline generation, whitespace identification, and multi-threaded account development. - Experience navigating matrixed organizations and complex sales cycles. - Track record of leading cross-functional teams to successful outcomes. - Proficiency with MEDDPICC, Command of the Message, and structured account planning. Preferred Qualifications - Experience in observability, AIOps, IT Operations Management (ITOM), or enterprise infrastructure software. - Understanding of Managed Services Provider business models and operational economics. - Experience working with strategic channel partners and global systems integrators. - Bachelor’s degree or equivalent experience. Benefits - Comprehensive medical, dental and vision plans. - 401(k) plan with employer match. - Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize. - Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization. - 5-year Service Milestone Sabbatical. - Paid parental leave. - Generous employee referral bonus program. - Pet insurance. - HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays. - Regular virtual company-wide events, including cooking classes, yoga, meditation and more. - The opportunity to learn and develop from some of the best and brightest minds in the industry!

Role Description ScienceLogic is looking for a proven Sales Engineer with at least seven years of Sales Engineering experience in network monitoring/management or cloud services to join their established sales organization. You’ll work alongside an experienced Account Executive to help US Government Agencies get the most out of their infrastructure through our hybrid cloud network monitoring solutions. Each day is going to bring new and exciting challenges your way; but with your ability to retain in-depth and hands-on product knowledge and your borderline geeky addiction to staying up to date with the newest industry standards, there isn’t a customer you can’t impress. Here’s a sneak peek into some of the responsibilities you’ll have in the role: - Impress customers and prospects alike with your supernatural ability to think on your feet during sales presentations and demonstrations. - Prove that ScienceLogic is the only vendor able to satisfy a prospect’s technical and business requirements in a Proof of Value (POV). - Document why ScienceLogic is different from the competition in emails, RFPs, and other files during the sales process. - Provide Tradeshow support. - Excellent communication and ability to develop customer rapport is paramount. Qualifications - BS/BA degree in EE, CS, or related field and 7+ years’ experience in Sales Engineering in network monitoring/management or cloud services. - Ability to articulate complex topics to business or technical audiences. - Ability to translate technical advantages into business benefits. - Experience with Network and Systems Management systems. - Technical pre-sales experience working with ITOM, APM, ITSM. - Experience in an equivalent role for a technology firm. - Ability to travel and have a willingness to get the job done right by visiting customers face-to-face during critical points in the sales cycle. - Understand the daily pains of IT Operations personnel in today’s highly virtualized data centers as they migrate workloads to the cloud. - Understand the needs of the Public Sector. - Proven or demonstrably dazzling presentation, speaking and writing skills. - Knowledge of: UNIX, TCP/IP, SNMP, Syslog, PowerShell, ITIL. - Knowledge in these areas a plus: Python, XML/JSON, YANG/NETCONF, Kubernetes. - Ability to obtain a clearance if required. Benefits - Comprehensive medical, dental and vision plans. - 401(k) plan with employer match. - Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize. - Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization. - 5-year Service Milestone Sabbatical. - Paid parental leave. - Generous employee referral bonus program. - Pet insurance. - HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays. - Regular virtual company-wide events, including cooking classes, yoga, meditation and more. - The opportunity to learn and develop from some of the best and brightest minds in the industry!

Role Description ScienceLogic is looking for a Professional Services Technical Consultant to serve as the primary technical interface and onsite subject matter expert to customers for the ScienceLogic product line. This role offers the opportunity to join a fast-paced, collaborative environment and work with customers and colleagues from many different disciplines. Do you have high energy, an innovative spirit and a strong professional services background with top technology skills? Then read on. - Provide onsite consulting services and support to ScienceLogic customer with a focus on high quality, accuracy and customer satisfaction. - Perform hands-on installation, configuration, and troubleshooting of ScienceLogic appliances as they relate to the ScienceLogic suite of products. - Work closely with customer’s technical and management staff and act as subject matter expert for ScienceLogic products. - Handle customer work activities via on-site and remote as required. (On-site client work may be full time). - Handle on-site work solely as a SME and Technical Consultant in ScienceLogic implementation activities. - Act as the internal customer advocate for problem resolution, new product features, and future product direction. - Record all activity in the department’s ticketing system. - Use and create knowledge base articles based on field incidents, and/or common or critical issues. - Adhere to ScienceLogic Professional Services best practices. - Participate in departmental projects. - Provide leadership and direction for your customer regarding the ScienceLogic product suite. - Creative person who looks for new and innovative ways to resolve problems. - Document and record all activity and communication with customer in person, over telephone and email according to departmental standards of quality. - Support and provide consulting services to our federal or commercial IT standards (etc. support Federal ATO process, Security Audits, Change Management procedures). Qualifications - A bachelor degree in computer science/engineering or similar. - Effective team player willing to assist others when needed. - Proven experience with implementation of enterprise level network management or application performance products. - Process driven and proactive mindset; continuous improvement. - Thorough understanding of IT infrastructure, application, and enterprise infrastructure best practices. - Exceptional troubleshooting and customer-handling skills; flexible and willing to learn new technologies. - Excellent written and verbal communication skills. - 5+ years’ experience supporting/using enterprise class infrastructure monitoring platforms. - 5+ years Linux operating system experience. - 5+ years Database query experience. - 5+ years of experience with SNMP and vendor MIB architecture. - 5+ years of experience configuring SNMP trap and/or Syslog alerts. - Strong knowledge of PowerShell, WMI, XML/SOAP, API. - Self-motivated with the ability to maintain a positive and cooperative attitude in sometimes stressful situations. - Strong leadership skills with the ability to prioritize competing project timelines. Requirements - Ability to identify process bottlenecks and identify potential solutions with automations or scripting. - Experience with ITSM, EMS/NMS Systems (EM7, Solarwinds, IBM NetCool/Tivoli Nagios, HP OpenView or similar) and SNMP. - PHP, GQL, and/or Python experience desired. - Previous integration experience with ServiceNow, PagerDuty or ITSM platforms is a plus. Benefits - Comprehensive medical, dental and vision plans. - 401(k) plan with employer match. - Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize. - Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization. - 5-year Service Milestone Sabbatical. - Paid parental leave. - Generous employee referral bonus program. - Pet insurance. - HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays. - Regular virtual company-wide events, including cooking classes, yoga, meditation and more. - The opportunity to learn and develop from some of the best and brightest minds in the industry!