Build, deploy, host, and operate business applications and integrations on cloud and SaaS platforms. Develop containerized, IaC-driven deployments; implement monitoring, logging, and incident response; design API/webhook integrations and automation; maintain runbooks and coordinate vendor support.
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
DigitalOcean is looking for a Business Technology Engineer to build, deploy, host, and run the applications that keep our business moving. You'll partner closely with our system owners and domain admins to take business needs from idea to a running, well-operated system — some hosted on our own cloud infrastructure on DigitalOcean, and some delivered through SaaS platforms that we extend with integrations and automation.
This is a hands-on engineering role with real ownership. If you have a growth mindset, like to move fast and think big, and are energized by owning systems end to end — from build, to deploy, to host and run — this is a place where you'll do some of the best work of your career.
What You'll Be Doing- Partner with system owners and domain admins to turn business requirements into technical solutions and a clear delivery plan.
- Build and deploy business technology applications, including custom apps hosted on DigitalOcean (App Platform, Droplets, Managed Databases, Spaces, and Kubernetes/DOKS).
- Package and ship applications using containers (Docker) and infrastructure-as-code, with repeatable, version-controlled, auditable configuration.
- Own the operational health of the systems you deploy — uptime, performance, backups, patching, cost, and security.
- Stand up monitoring, logging, and alerting so issues are caught early, and respond to and resolve incidents on the systems in your remit.
- Design and build integrations between SaaS platforms and internal systems using APIs, webhooks, and event-driven patterns.
- Develop automation in and around our SaaS tools — provisioning, data synchronization, and workflow automation — to remove manual work and keep systems in sync.
- Evaluate and recommend integration and automation tooling, choosing the right approach for each problem.
- Coordinate with vendors on roadmap, escalations, and technical questions for the platforms you support.
- Create and maintain clear technical documentation, runbooks, and standards so systems are supportable by the wider team.
- Participate in a support escalation path for business-critical systems.
- 5+ years of hands-on experience building, deploying, and operating applications and/or integrations in a business or enterprise IT environment.
- Practical experience hosting and running applications on a cloud platform — DigitalOcean is a strong plus; AWS, Azure, or GCP experience translates well.
- Proficiency in at least one language used for automation and integration (e.g., Python, JavaScript/Node.js, PowerShell, Go).
- Solid experience integrating SaaS systems via REST APIs, webhooks, and authentication patterns (OAuth, API keys, SSO/SCIM concepts).
- Working knowledge of containers (Docker), infrastructure-as-code (e.g., Terraform, Ansible), and CI/CD practices.
- A track record of partnering with non-technical stakeholders to turn requirements into working systems, and of documenting your work so others can run it.
- Strong ownership and problem-solving instincts — comfortable taking something from an ambiguous request to a running, monitored, supported production system.
Bonus points if you have:
- Direct DigitalOcean experience — App Platform, Droplets, Managed Databases, Spaces, or DOKS.
- Experience with iPaaS / workflow automation tools (e.g., Workato, Zapier, Make, Mulesoft, Boomi, Tray).
- Familiarity with common business SaaS platforms and their APIs (e.g., Google Workspace, Okta, Slack, Salesforce, NetSuite, Workday).
- Exposure to security and compliance practices for SaaS and cloud (access governance, least privilege, configuration auditing).
- A degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
*This job is located in Bengaluru, India
JR: 2026-8017
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Similar Jobs at DigitalOcean
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead and grow an engineering team to design, build, and scale a production LLM inference platform. Drive architecture, scheduling, GPU utilization, orchestration, observability, security, and cross-functional delivery for large Kubernetes clusters and multi-tenant AI workloads.
Top Skills:
Amd)CriuCudaGpu (NvidiaGvisorHamiKai-SchedulerKata ContainersKubernetesMicrovmsNumaNvidia Cuda-CheckpointNvidia GroveNvlinkOci Image VolumesPcieRocmSglangVllm
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead and grow a Forward Deployed Engineering team focused on internal data and AI platform pipelines. Drive customer engagements, validate and optimize AI workloads, influence product roadmap, build automation and benchmarking, collaborate with partners, and support production deployments and platform scale.
Top Skills:
CrewaiCudaGoKubernetesLanggraphLlamaindexLlm-DMcpNcclNvidia DynamoOpenai Agents SdkPythonRay ServeRcclRocmSglangTensorrtTritonVllm
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead and grow an engineering team building serverless inference infrastructure and APIs for large-scale AI workloads. Drive architecture, throughput and GPU utilization optimizations, partner across platform and product teams, own operational readiness and incident response, and deliver highly available, production-grade multi-tenant systems.
Top Skills:
Api GatewayCloud-Native Multi-Region ArchitecturesGpuKubernetesLlmsMicroservicesObservabilityService MeshSreTensorrt-LlmTraffic RoutingTritonVllm
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
