Software Engineer II

Microsoft Viva Insights (also known as Copilot Analytics) empowers organizations...

Location

United States , Washington D.C.

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
3+ years of hands-on software design and coding experience
Experience applying AI/ML techniques or working with generative AI systems in production environments
Familiarity with modern version control systems like Git and agile development methodologies
Hands-on experience with Azure cloud services, including compute, networking, storage, identity, and resource governance
Experience designing and maintaining infrastructure-as-code (e.g., ARM/Bicep or equivalent) and CI/CD pipelines, including YAML-based build and release definitions, deployment automation, and troubleshooting deployment failures
Experience supporting live-site operations, including incident triage, root cause analysis, and driving issues to resolution
Security Clearance Requirements: Candidates must be able to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: The successful candidate must have an active U.S. Government Secret Security Clearance
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. Failure to maintain or obtain the appropriate clearance and/or customer screening requirements may result in employment action up to and including termination
Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment

Job Responsibility

Design, implement, test, deploy, and operate large-scale, distributed backend systems that power AI-driven insights and analytics for Microsoft 365 Copilot and Viva Insights
Apply generative AI and ML techniques to deliver intelligent, personalized experiences that help customers understand and accelerate their AI transformation
Act as an embedded engineer for government cloud environments (GCC-High / DoD), executing onboarding, deployments, troubleshooting, and operational activities with the same ownership and rigor as Core Services full-time engineers
Build, manage, and maintain Azure infrastructure across environments, including compute, networking, storage, identity, certificates, and service dependencies, while adapting engineering practices to security- and compliance-constrained environments
Collaborate across disciplines (product, platform, infrastructure, security, monitoring, compliance) to define technical requirements, design robust APIs, and unblock cross-service dependencies—particularly in government cloud scenarios
Drive engineering excellence and service reliability through strong design, testing, observability, proactive monitoring, and deep diagnostics using logs, metrics, telemetry, and Kusto (KQL)
Contribute to team culture by mentoring peers, sharing knowledge, and fostering an inclusive, growth-oriented environment
Continuously learn and adapt to new technologies, patterns, and best practices in AI, distributed systems, and cloud-native development

Fulltime

Staff II Software Engineer AI/ML Ops

We're looking for a Lead Data Engineer to design, build, and optimize data pipel...

Location

United States , Pleasanton

Salary:

245000.00 - 307000.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
Proficiency in containerization technologies (e.g., Docker, Kubernetes)
Proficient in scripting languages (e.g., Bash, python) for automation
Experience with workflow orchestration tools (e.g., Apache Airflow)

Job Responsibility

Lead data pipeline development: Build and maintain PySpark ETL pipelines with high data quality and performance
Manage integrations: Establish robust connections to client data sources via APIs and tools like FiveTran, Plaid, and BlackLine's own internal connector ecosystem
Ensure reliability: Monitor pipeline performance, automate testing, and validate data accuracy
Optimize for scale: Implement performance improvements (e.g., CDC mechanisms, indexing strategies) for large-scale datasets
Collaborate & innovate: Work with business stakeholders to refine data requirements and integrate cutting-edge AI and big data technologies
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies

What we offer

Short-term and long-term incentive programs
Robust offering of benefit and wellness plans

Fulltime