Senior Software Engineer Jobs

About The Position

Requirements

• Master's degree or equivalent in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, Information Technology, Electronic Engineering, Electrical Engineering, or a related area, plus 1 year of experience in software engineering or a related area; OR bachelor's degree or equivalent in one of these fields or a related area, plus 3 years of experience in software engineering or a related area. The employer will accept any amount of experience with the required skills.
• Experience architecting, designing, and implementing enterprise-scale big data systems and distributed data pipelines for real-time and batch workloads, with high scalability, low latency, and fault tolerance.
• Experience in data modeling and data architecture design.
• Experience with data governance principles, including data quality, metadata management, and security.
• Experience with Apache Kafka, Apache Spark (Scala/PySpark), Druid, Trino, and Hudi.
• Experience writing high-performance queries over large-scale datasets.
• Experience with JavaScript/TypeScript, Python, Java, Scala, Shell script, and system-level languages such as C++, Go, and COBOL.
• Experience building data pipelines and processing layers.
• Experience with DAG-based workflow orchestration using Apache Airflow and Java DAG structures.
• Experience with public cloud platforms, including Google Cloud Platform (GCP).
• Experience with Site Reliability Engineering (SRE) and operations.
• Experience developing RESTful services and CI/CD pipelines.
• Experience with Git, Maven, Jenkins, Concord, OneOps, Docker, Kubernetes, Prometheus, Grafana, and Splunk.
• Experience with containerization and DevOps practices, and performing stress, load, and integration testing.
• Experience developing custom UI components using React or AngularJS to visualize system health, alert status, ingestion metrics, and reliability across distributed streaming platforms.
• Experience with Protocol Buffers (protobuf) and high-volume, petabyte-scale data serialization.
• Experience with system performance tuning and high-volume data processing in distributed environments, including profiling tools such as perf, bpftrace, flame graphs, and Linux performance analysis utilities.

Responsibilities

• Assess gaps or changes between customer or business expectations and existing products or solutions, and classify requirements.
• Anticipate risks and issues during requirements gathering, inform relevant stakeholders, and recommend corrective steps.
• Contribute to user stories for components and applications.
• Assist in designing solutions and evaluate design trade-offs based on business requirements.
• Convert high-level designs into detailed designs using mock screens, pseudocode, and functional logic.
• Create and configure software components or applications that meet business, technical, security, and non-functional requirements.
• Assist in selecting programming languages, development standards, and software tools; learn relevant languages and frameworks.
• Build scripts to automate repetitive tasks in CI/CD, testing, and other applicable processes.
• Implement telemetry features and apply security policy requirements during development or configuration.
• Map customer requirements to test objectives, identify and create test cases, and execute testing using appropriate tools.
• Track and analyze defects, perform regression testing, and analyze past defects to prevent recurrence.
• Troubleshoot application performance and availability bottlenecks; conduct complex maintenance procedures independently.
• Monitor application performance using relevant metrics; perform corrective, adaptive, and perfective maintenance and re-engineering.
• Analyze application logs, maintenance activity data, and performance data.
• Evaluate change requests for validity and feasibility.
• Ensure projects adhere to approved milestones and timelines.
• Architect, design, and implement scalable, low-latency, fault-tolerant enterprise big data systems and distributed real-time and batch data pipelines.
• Develop data models, data architectures, data pipelines, and processing layers while applying data governance principles.
• Build and operate workflow orchestration, cloud-based, RESTful, CI/CD, and containerized systems.
• Develop custom UI components to visualize system health, alerts, ingestion metrics, and reliability across distributed streaming platforms.
• Perform system performance tuning and high-volume data processing analysis in distributed environments.

Benefits

• Medical, vision, and dental coverage.
• 401(k), stock purchase, and company-paid life insurance.
• Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
• Short-term and long-term disability.
• Education assistance, including company-paid college degrees.
• Company discounts.
• Military service pay.
• Adoption expense reimbursement.
• Annual or quarterly performance incentives.