Staff Software Engineer - Backend - 7+ years

Outreach · Hyderabad (Remote) · posted Oct 21, 2026

Open to candidates in India

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What this role actually asks for

Extracted by RemoteHunt

Must have

  • •7+ years backend development experience
  • •Design and operate large-scale distributed systems
  • •Cloud service-oriented architecture
  • •Backend programming (Go required)
  • •Distributed data platforms (Kafka, RabbitMQ, NoSQL)
  • •Build APIs, analytics/data infrastructure
  • •Integrate ML/AI workflows

Nice to have

  • •Python/Java/Ruby experience
  • •Experience building ML algorithms in production

Tools and technologies

GoPythonJavaRubyKafkaRabbitMQNoSQL

The full posting

About Outreach

Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, Outreach AI automates workflows and frees sellers to focus on more strategic conversations and actions. Revenue leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading enterprise organizations use Outreach to power their revenue teams, including Databricks, SAP, Siemens, and Verizon to name a few.

About the Team

Our mission is to deliver a resilient, internet-scale microservice platform supporting high-velocity development, real-time analytics, and intelligent automation.

The team architects and powers critical backend services at the core of our opportunity management and forecasting ecosystem. We collaborate closely with cross-functional leaders to drive innovation, enable data-driven decisions, and leverage cutting-edge AI/ML to ensure global customer impact.

The Role

We are seeking a Staff Software Engineer who thrives on tackling complex technical and architectural challenges at scale.

You will bring deep expertise in scalable, distributed systems design, lead high-performing teams through ambiguity, and accelerate product innovation in data-driven and AI-rich environments.

You will steer system evolution, guarantee performance under high loads, and mentor peers while shaping delivery and technical direction.

Your Daily Adventures Will Include:

  • Leading the architecture, design, and delivery of distributed cloud-native applications capable of high concurrency and demanding real-time data needs.
  • Developing strategy and hands-on solutions for scalable data pipelines, streaming analytics, and integrating ML/AI workflows.
  • Collaborating with data science, product, and engineering partners to ship intelligent, complex product features.
  • Setting and promoting engineering standards for code quality, security, and operational excellence; nurturing automation and continuous improvement.
  • Diagnosing and eliminating performance bottlenecks and proactively addressing reliability risks.
  • Mentoring, reviewing code/architectures, and fostering a culture of rapid learning.
  • Decomposing legacy systems into SOA/microservices, resolving tech debt, and evolving the architecture for scale.
  • Taking end-to-end ownership of major initiatives from planning through impact.

Our Vision of You:

  • 7+ years of strong backend development experience.
  • Demonstrated excellence designing and operating large-scale distributed systems with cloud service-oriented architecture.
  • Proven leadership in fast-paced environments, setting standards, and inspiring technical teams to exceed delivery goals.
  • Mastery in backend programming (Go required, Python/Java/Ruby a plus) and hands-on with distributed data platforms (Kafka, RabbitMQ, NoSQL).
  • Experience building APIs, analytics/data infrastructure, and deploying ML algorithms in production.
  • Excellent communication and cross-team collaboration skills.
  • Commitment to security, compliance, and robust, scalable design.
  • Growth mindset – always learning, always elevating the technical bar for the team.
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