Digital Ocean

1 month ago

Senior Software Engineer II(Go,AI)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Senior Software Engineer II at DigitalOcean, leading the design and delivery of the multi-tenant AI Agents platform. You will architect high-throughput Go services, integrate with AI/ML workloads, and mentor engineers while partnering with product and customer teams to ensure scalable, secure, low-latency developer experiences in a hybrid Hyderabad-based environment.

Location: Hyderabad

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Technical Leadership: Act as a technical leader on the team, driving end-to-end design, development, and delivery of critical control/data plane components of a multi-tenant platform hosting AI agents.
•Design and scale the core platform using Go, managing global state, session lifecycles, agent memory, state synchronization, HITL workflows, history management, and integration with agent frameworks for millions of user requests.
•Implement and optimize robust multi-tenant services, API gateways and authentication layers to securely isolate workloads, rate-limit abuse, and track usage for billing with sub-20ms overhead.
•Own the developer interface, optimizing real-time telemetry, logging pipelines, and token streaming back to developers’ CLI/UI.
•Collaborate cross-functionally with Product, customer-facing teams, and other engineering groups to align roadmaps with customer needs.

Key Requirements

•8+ years of professional software engineering experience with microservices, messaging systems, databases, and infrastructure as code, using Go or similar backend languages.
•Hands-on AI/ML domain knowledge, experience with integrating LLMs or multimodal models and managing Agentic workloads for high-scale customers.
•Proven experience building high-throughput REST/gRPC APIs, and working with API gateways, reverse proxies, or network routers.
•Practical experience with orchestration/state management tools (Kubernetes or Nomad) and distributed key-value stores (Redis, Consul, Etcd).
•Strong experience with relational databases (PostgreSQL/MySQL) and telemetry data pipelines using Snowflake, ClickHouse, etc.

Experience:8+ yearsAiCloudDistributed systemsSaaSPaaS

Skills:GoAPI designDistributed systemsKubernetesPostgreSQLMySQLSnowflakeClickHouseKafkaSSE

Languages:English

Tech Stack:GoKubernetesNomadRedisConsulEtcdPostgreSQLMySQLSnowflakeClickHouseKafkaSSELangchainLangraphCrew.ai

Company Brief

Digital Ocean

Provides cloud infrastructure and developer-focused cloud services including scalable droplets, managed databases, Kubernetes, object storage, and networking to simplify deploying and managing applications for developers and small-to-medium businesses.

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2011

Glassdoor: 3.8

Website LinkedIn

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Digital Ocean

1 month ago

Senior Software Engineer II(Go,AI)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Hyderabad

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Technical Leadership: Act as a technical leader on the team, driving end-to-end design, development, and delivery of critical control/data plane components of a multi-tenant platform hosting AI agents.
•Design and scale the core platform using Go, managing global state, session lifecycles, agent memory, state synchronization, HITL workflows, history management, and integration with agent frameworks for millions of user requests.
•Implement and optimize robust multi-tenant services, API gateways and authentication layers to securely isolate workloads, rate-limit abuse, and track usage for billing with sub-20ms overhead.
•Own the developer interface, optimizing real-time telemetry, logging pipelines, and token streaming back to developers’ CLI/UI.
•Collaborate cross-functionally with Product, customer-facing teams, and other engineering groups to align roadmaps with customer needs.

Key Requirements

•8+ years of professional software engineering experience with microservices, messaging systems, databases, and infrastructure as code, using Go or similar backend languages.
•Hands-on AI/ML domain knowledge, experience with integrating LLMs or multimodal models and managing Agentic workloads for high-scale customers.
•Proven experience building high-throughput REST/gRPC APIs, and working with API gateways, reverse proxies, or network routers.
•Practical experience with orchestration/state management tools (Kubernetes or Nomad) and distributed key-value stores (Redis, Consul, Etcd).
•Strong experience with relational databases (PostgreSQL/MySQL) and telemetry data pipelines using Snowflake, ClickHouse, etc.

Experience:8+ yearsAiCloudDistributed systemsSaaSPaaS

Skills:GoAPI designDistributed systemsKubernetesPostgreSQLMySQLSnowflakeClickHouseKafkaSSE

Languages:English

Tech Stack:GoKubernetesNomadRedisConsulEtcdPostgreSQLMySQLSnowflakeClickHouseKafkaSSELangchainLangraphCrew.ai

Company Brief

Digital Ocean

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2011

Glassdoor: 3.8

Website LinkedIn