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Flexera

Staff Software Engineer

Flexera

Staff Software Engineer providing technical leadership for backend systems powering our Data FinOps platform. Ideal for senior technologists solving complex problems at scale in a hybrid IT environment.

Posted 5/26/2026full-timeBangalore • 🇮🇳 IndiaLeadWebsite

Tech Stack

Tools & technologies
Amazon RedshiftAWSAzureCloudDistributed SystemsDockerFlaskGoGoogle Cloud PlatformJavaJavaScriptKubernetesNode.jsPython

About the role

Key responsibilities & impact
  • Lead the architecture, design, and evolution of highly scalable, cloud-native backend systems and APIs.
  • Drive technical strategy for reliability, scalability, performance, and cost efficiency across data-intensive workloads.
  • Own complex backend initiatives end-to-end, from design through production rollout and operational maturity.
  • Collaborate closely with data engineering, frontend, platform, and SRE teams to ensure cohesive system design and execution.
  • Influence engineering standards and best practices around code quality, testing, CI/CD, observability, and operational excellence.
  • Review and guide designs and implementations across teams, acting as a trusted technical advisor.
  • Mentor senior and junior engineers, helping grow technical depth and leadership within the organization.
  • Stay ahead of industry trends in backend systems, cloud platforms, and data engineering, applying them thoughtfully at scale.

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
  • 8+ years of backend engineering experience, with a proven track record of building and scaling complex production systems.
  • Deep expertise in Python (experience with Java, Go, or Node.js is a strong plus).
  • Strong experience designing distributed systems and RESTful APIs using frameworks such as Flask or FastAPI.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and cloud-native architectures.
  • Solid understanding of relational databases and data platforms/warehouses (e.g., Snowflake, Redshift, Databricks).
  • Experience with Docker and Kubernetes in large-scale or production environments.
  • Strong fundamentals in system design, data structures, algorithms, and trade-off analysis.
  • Experience driving or influencing CI/CD pipelines, deployment strategies, and operational practices.
  • Excellent communication skills, with the ability to influence technical direction across teams.

Benefits

Comp & perks
  • Competitive compensation
  • Flexible work arrangements
  • Clear growth paths for senior technical leaders

ATS Keywords

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Hard Skills & Tools
PythonJavaGoNode.jsFlaskFastAPIDockerKubernetesrelational databasesdata structures
Soft Skills
communicationmentoringinfluencingcollaborationleadershiptechnical advisingcode qualityoperational excellencedesign reviewteam cohesion
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Engineering