Build and maintain reliable, scalable cloud infrastructure for Kubernetes-based distributed database systems on AWS and Google Cloud. Develop Golang automation, optimize CI/CD pipelines, implement monitoring and observability, troubleshoot complex infrastructure issues, and design disaster recovery and high-availability strategies. Participate in on-call support, incident response, and cross-functional efforts to improve system reliability and resolve customer issues.
Site Reliability Engineer
About Arango:
Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications with the unified, current, and trusted business context needed to reason, decide, and act at scale.
The Arango Contextual Data Platform connects fragmented enterprise data with LLMs, copilots, and AI agents through a simplified architecture delivered out of the box. By combining graph, vector, document, key-value, and search capabilities in a single platform, Arango eliminates the complex stacks many organizations build to operationalize enterprise AI.
Trusted by organizations including NVIDIA, HPE, the London Stock Exchange, PSI CRO, the U.S. Air Force, NIH, Siemens, Transient.AI, Matpriskollen, and Articul8, Arango helps enterprises move from AI pilots to reliable production systems faster while lowering infrastructure complexity and total cost of ownership. Arango is a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, and G2.
Location: (Remote)- India
Job Overview:
At ArangoDB, we are building a robust, cloud-native infrastructure to support our distributed database systems, which power mission-critical applications for a wide range of industries. We are searching for a Site Reliability Engineer (SRE) to ensure the reliability, scalability, and performance of our infrastructure and applications, with a focus on automation, monitoring, and optimizing cloud environments.
As a Site Reliability Engineer (SRE), you will be responsible for maintaining and improving the reliability of our distributed database systems running on Kubernetes and cloud environments (AWS, Google Cloud). You will design, implement, and maintain scalable infrastructure solutions, improve and expand observability into these solutions, and troubleshoot complex system issues. It is expected that you will come to work to write clean and efficient code in Golang, working closely with development teams
Your goal is to ensure high availability and performance of our cloud-based systems, automating repetitive tasks, and enhancing our CI/CD pipelines. If you're passionate about building resilient systems, managing cloud infrastructure, and using Golang to create scalable solutions (or willingness to learn Golang), we want to hear from you!
Key Responsibilities:
● Design, implement, and maintain cloud infrastructure on AWS and Google Cloud platforms.
● Ensure the scalability, performance, and reliability of our Kubernetes-based distributed database systems.
● Collaborate with developers to write efficient, production-grade code in Golang to automate infrastructure management and improve system operations.
● Optimize and automate CI/CD pipelines, deployment processes, and monitoring systems to support our production environment.
● Develop strategies for disaster recovery, high availability, and fault tolerance.
● Proactively identify system bottlenecks, troubleshoot, and resolve issues across the stack (network, OS, cloud infrastructure).
● Implement monitoring, logging, and alerting systems to ensure visibility into system health and performance.
● Participate in on-call rotations to support critical production systems and respond to incidents.
● Collaborate with cross-functional teams to improve overall system reliability and scalability.
● Collaborate with the Customer Success team to resolve customer issues.
Required Skills and Qualifications:
● Experience: 4-7 years of experience: SRE or DevOps Engineer background in cloud-native environments. Self-organized, autonomous remote team player with strong communication skills.
● Cloud & Infrastructure: AWS and GCP; advanced Linux internals (processes, environment variables); containerization and orchestration (Docker, Kubernetes at scale).
● CI/CD & Observability: CI/CD pipelines (Jenkins, CircleCI); monitoring, alerting, and logging (Prometheus, Grafana, ELK stack); Git version control.
● Networking & Security: Core networking, security best practices, and systematic troubleshooting of complex infrastructure issues.
● Development: Programming proficiency in Golang or Python.
Nice-to-Have:
● Experience managing distributed databases or large-scale data storage systems.
●Knowledge of security best practices in cloud environments.
● Experience with scripting languages like Python or Bash.
● Experience with Infrastructure-as-Code (IaC) tools like Terraform is a plus.
●Experience working with GitOps
● Strong programming skills in Golang, with experience in developing automation tools, scripts, or services.
What Makes Arango Special?At Arango, we believe that AI is only as powerful as the data foundation. Our mission is to help organizations build AI systems that can reason, decide and act based on unified, current, and trusted business context at scale. We are helping define a new category of infrastructure: the contextual data layer for AI.
Working at Arango means:
Contributing to cutting-edge AI and data infrastructure
Collaborating with experienced engineers, marketers, and product leaders
Helping shape how enterprises build AI-powered applications
If you're excited about the intersection of AI, data, and social media, we’d love to hear from you.
About Arango:
Arango delivers a unified, natively multimodel contextual data platform that powers AI agents, assistants, and applications with the unified, current, and trusted business context needed to reason, decide, and act at scale.
The Arango Contextual Data Platform connects fragmented enterprise data with LLMs, copilots, and AI agents through a simplified architecture delivered out of the box. By combining graph, vector, document, key-value, and search capabilities in a single platform, Arango eliminates the complex stacks many organizations build to operationalize enterprise AI.
Trusted by organizations including NVIDIA, HPE, the London Stock Exchange, PSI CRO, the U.S. Air Force, NIH, Siemens, Transient.AI, Matpriskollen, and Articul8, Arango helps enterprises move from AI pilots to reliable production systems faster while lowering infrastructure complexity and total cost of ownership. Arango is a proud member of the NVIDIA Inception Program and the AWS ISV Accelerate Program. Learn more at arango.ai, LinkedIn, and G2.
Location: (Remote)- India
Job Overview:
At ArangoDB, we are building a robust, cloud-native infrastructure to support our distributed database systems, which power mission-critical applications for a wide range of industries. We are searching for a Site Reliability Engineer (SRE) to ensure the reliability, scalability, and performance of our infrastructure and applications, with a focus on automation, monitoring, and optimizing cloud environments.
As a Site Reliability Engineer (SRE), you will be responsible for maintaining and improving the reliability of our distributed database systems running on Kubernetes and cloud environments (AWS, Google Cloud). You will design, implement, and maintain scalable infrastructure solutions, improve and expand observability into these solutions, and troubleshoot complex system issues. It is expected that you will come to work to write clean and efficient code in Golang, working closely with development teams
Your goal is to ensure high availability and performance of our cloud-based systems, automating repetitive tasks, and enhancing our CI/CD pipelines. If you're passionate about building resilient systems, managing cloud infrastructure, and using Golang to create scalable solutions (or willingness to learn Golang), we want to hear from you!
Key Responsibilities:
● Design, implement, and maintain cloud infrastructure on AWS and Google Cloud platforms.
● Ensure the scalability, performance, and reliability of our Kubernetes-based distributed database systems.
● Collaborate with developers to write efficient, production-grade code in Golang to automate infrastructure management and improve system operations.
● Optimize and automate CI/CD pipelines, deployment processes, and monitoring systems to support our production environment.
● Develop strategies for disaster recovery, high availability, and fault tolerance.
● Proactively identify system bottlenecks, troubleshoot, and resolve issues across the stack (network, OS, cloud infrastructure).
● Implement monitoring, logging, and alerting systems to ensure visibility into system health and performance.
● Participate in on-call rotations to support critical production systems and respond to incidents.
● Collaborate with cross-functional teams to improve overall system reliability and scalability.
● Collaborate with the Customer Success team to resolve customer issues.
Required Skills and Qualifications:
● Experience: 4-7 years of experience: SRE or DevOps Engineer background in cloud-native environments. Self-organized, autonomous remote team player with strong communication skills.
● Cloud & Infrastructure: AWS and GCP; advanced Linux internals (processes, environment variables); containerization and orchestration (Docker, Kubernetes at scale).
● CI/CD & Observability: CI/CD pipelines (Jenkins, CircleCI); monitoring, alerting, and logging (Prometheus, Grafana, ELK stack); Git version control.
● Networking & Security: Core networking, security best practices, and systematic troubleshooting of complex infrastructure issues.
● Development: Programming proficiency in Golang or Python.
Nice-to-Have:
● Experience managing distributed databases or large-scale data storage systems.
●Knowledge of security best practices in cloud environments.
● Experience with scripting languages like Python or Bash.
● Experience with Infrastructure-as-Code (IaC) tools like Terraform is a plus.
●Experience working with GitOps
● Strong programming skills in Golang, with experience in developing automation tools, scripts, or services.
What Makes Arango Special?At Arango, we believe that AI is only as powerful as the data foundation. Our mission is to help organizations build AI systems that can reason, decide and act based on unified, current, and trusted business context at scale. We are helping define a new category of infrastructure: the contextual data layer for AI.
Working at Arango means:
Contributing to cutting-edge AI and data infrastructure
Collaborating with experienced engineers, marketers, and product leaders
Helping shape how enterprises build AI-powered applications
If you're excited about the intersection of AI, data, and social media, we’d love to hear from you.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Owns the strategy, roadmap, lifecycle, and commercial performance of externally sold fraud detection and prevention products. Defines fraud capabilities, KPIs, business cases, and product requirements while partnering with data science, engineering, risk, compliance, operations, and external vendors. Evaluates detection methods, market trends, fraud typologies, regulatory expectations, and product performance to guide investment, operational readiness, adoption, and risk mitigation.
Top Skills:
Ai Fraud DetectionCard PaymentsCase Management PlatformsDispute And Chargeback WorkflowsInvestigation ToolsMachine Learning Fraud ScoringNetwork-Level Fraud SignalsOpen-Loop ProcessingRules EnginesTransaction Monitoring
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Designs, develops, and deploys AI/ML and generative AI solutions for healthcare claims, including fraud detection, overpayment disputes, workflow automation, and document understanding. Builds LLM applications, RAG frameworks, and prompt engineering solutions; develops evaluation and validation processes; optimizes model deployment and inference; and supports responsible AI governance. Collaborates with engineering, product, analytics, data science, and business teams to deliver scalable solutions and measurable operational improvements.
Top Skills:
Artificial IntelligenceCloud Ai/Ml PlatformsGenerative AiLarge Language ModelsMachine LearningMlopsPrompt EngineeringPythonRetrieval-Augmented Generation
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develop and maintain scalable enterprise data pipelines and ETL/ELT workflows using Python, PySpark, Databricks, Snowflake, Azure Data Factory, and related technologies. Support batch and streaming workloads, cloud data movement, platform stability, incident resolution, security remediation, upgrades, and operational support. Build AI tools, optimize data platforms, collaborate across teams, and contribute to documentation and continuous improvement within healthcare data environments.
Top Skills:
AirflowSparkAzcopyAzure Blob StorageAzure Data FactoryData ModelingData WarehousingDatabricksDelta Live TablesEltETLGitGithub CopilotIbm DatastagePysparkPythonSnowflakeSpark SqlTeradataUnix/Linux
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
