Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data platforms at Petabyte scale. Our customers are Fortune 500 companies including Asia's largest telecom company, a unicorn fintech startup of India, and many more. We are lean, hungry, customer-obsessed, and growing fast. Our Solutions team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.
We are building software that can provide insights into companies' data operations and allows them to focus on delivering data reliably with speed and effectiveness. Join us in building an industry-leading data observability platform that focuses on ensuring data reliability from every spectrum (compute, data and pipeline) of a cloud or on-premise data platform.
Position Summary-
This role will support the customer implementation of a data quality and reliability product. The candidate is expected to install the product in the client environment, manage proof of concepts with prospects, and become a product expert and troubleshoot post installation, production issues. The role will have significant interaction with the client data engineering team and the candidate is expected to have good communication skills.
Required experience
- 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
- Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
- Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
- Basic understanding of SQL
- Experience working with technologies like S3, Kubernetes experience preferred.
- Databricks/Hadoop/Kafka experience preferred but not required

About Acceldata
About
Acceldata is the company that built the leading Multidimensional Data Observability Cloud. This cloud was designed to help data-driven organizations achieve agility in innovation, operational excellence, and enhanced returns on data investment. Embedded analytics and artificial intelligence technologies are becoming more reliant on contemporary organizations to fuel their business operations and choices.
The data observability technologies offered by Acceldata improve the performance of embedded artificial intelligence and analytics workloads by providing purpose-built monitoring and analytics. The first Data Observability Cloud is presently being developed by Acceldata for cloud data warehouses and hybrid data lakes. Acceldata makes it easy for businesses to expand their pipelines to meet the requirements of modern business, regardless of whether they are operating in a platform or cloud environment. Data Observability Cloud by Acceldata provides on-demand operational information to support analytics data workloads and embedded artificial intelligence.
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Key Responsibilities:
- Design, implement, and maintain scalable, secure, and cost-effective infrastructure on AWS and Azure
- Set up and manage CI/CD pipelines for smooth code integration and delivery using tools like GitHub Actions, Bitbucket Runners, AWS Code build/deploy, Azure DevOps, etc.
- Containerize applications using Docker and manage orchestration with Kubernetes, ECS, Fargate, AWS EKS, Azure AKS.
- Manage and monitor production deployments to ensure high availability and performance
- Implement and manage CDN solutions using AWS CloudFront and Azure Front Door for optimal content delivery and latency reduction
- Define and apply caching strategies at application, CDN, and reverse proxy layers for performance and scalability
- Set up and manage reverse proxies and Cloudflare WAF to ensure application security and performance
- Implement infrastructure as code (IaC) using Terraform, CloudFormation, or ARM templates
- Administer and optimize databases (RDS, PostgreSQL, MySQL, etc.) including backups, scaling, and monitoring
- Configure and maintain VPCs, subnets, routing, VPNs, and security groups for secure and isolated network setups
- Implement monitoring, logging, and alerting using tools like CloudWatch, Grafana, ELK, or Azure Monitor
- Collaborate with development and QA teams to align infrastructure with application needs
- Troubleshoot infrastructure and deployment issues efficiently and proactively
- Ensure cloud cost optimization and usage tracking
Required Skills & Experience:
- 3-4 years of hands-on experience in a DevOps
- Strong expertise with both AWS and Azure cloud platforms
- Proficient in Git, branching strategies, and pull request workflows
- Deep understanding of CI/CD concepts and experience with pipeline tools
- Proficiency in Docker, container orchestration (Kubernetes, ECS/EKS/AKS)
- Good knowledge of relational databases and experience in managing DB backups, performance, and migrations
- Experience with networking concepts including VPC, subnets, firewalls, VPNs, etc.
- Experience with Infrastructure as Code tools (Terraform preferred)
- Strong working knowledge of CDN technologies: AWS CloudFront and Azure Front Door
- Understanding of caching strategies: edge caching, browser caching, API caching, and reverse proxy-level caching
- Experience with Cloudflare WAF, reverse proxy setups, SSL termination, and rate-limiting
- Familiarity with Linux system administration, scripting (Bash, Python), and automation tools
- Working knowledge of monitoring and logging tools
- Strong troubleshooting and problem-solving skills
Good to Have (Bonus Points):
- Experience with serverless architecture (e.g., AWS Lambda, Azure Functions)
- Exposure to cost monitoring tools like CloudHealth, Azure Cost Management
- Experience with compliance/security best practices (SOC2, ISO, etc.)
- Familiarity with Service Mesh (Istio, Linkerd) and API gateways
- Knowledge of Secrets Management tools (e.g., HashiCorp Vault, AWS Secrets Manager)
The candidates should have:
· Strong knowledge on Windows and Linux OS
· Experience working in Version Control Systems like git
· Hands-on experience in tools Docker, SonarQube, Ansible, Kubernetes, ELK.
· Basic understanding of SQL commands
· Experience working on Azure Cloud DevOps
- Candidate should have good Platform experience on Azure with Terraform.
- The devops engineer needs to help developers, create the Pipelines and K8s Deployment Manifests.
- Good to have experience on migrating data from (AWS) to Azure.
- To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms.
- VMs to be provisioned on Azure Cloud and managed.
- Good hands on experience of Networking on Cloud is required.
- Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services.
- Kubernetes, Storage, KeyValult, Networking(load balancing and routing) and VMs are the key infrastructure expertise which are essential.
- Requirement is to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue-green/canary deployment models etc).
- The experience in AWS is desirable
- Python experience is optional however Power shell is mandatory
- Know-how on the use of GitHub
Required qualifications and must have skills
-
5+ years of experience managing a team of 5+ infrastructure software engineers
-
5+ years of experience in building and scaling technical infrastructure
-
5+ years of experience in delivering software
-
Experience leading by influence in multi-team, cross-functional projects
-
Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers
-
Experience with cloud service providers such as AWS, GCP, or Azure
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Experience with containerization technologies such as Kubernetes and Docker
Nice to have Skills
-
Experience with Hadoop, Hive and Presto
-
Application/infrastructure benchmarking and optimization
-
Familiarity with modern CI/CD practices
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Familiarity with reliability best practices
- Essentail Skills:
- Docker
- Jenkins
- Python dependency management using conda and pip
- Base Linux System Commands, Scripting
- Docker Container Build & Testing
- Common knowledge of minimizing container size and layers
- Inspecting containers for un-used / underutilized systems
- Multiple Linux OS support for virtual system
- Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
- Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
- Jenkins PIpeline
- Github API Understanding to trigger builds, tags, releases
- Artifactory Experience
- Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)
Engineering Leader, Cloud Infrastructure.
Bengaluru, Karnataka, India
Do you thrive on solving complex technical problems? Do you want to be at the cutting edge of technology? If so,we’re interested in speaking with you!
Your Impact:
We’re looking for a seasoned engineering leader in the Cloud team that is responsible for building, operating, and maintaining a customer-facing DBaaS service in multiple public clouds (AWS, GCP, and Azure). The service supports unified multiverse management of YugabyteDB, including fault-domain aware provisioning, rolling upgrades, security,
networking, monitoring, and day-2 operations (backups, scaling, billing etc). If you’re a strong leader who exemplifies collaboration, who is driven and thrive in a fast-paced startup environment, and who has a strong desire to build an internet-scale, extensible cloud based service with strong emphasis on simplicity and user experience, this job is for
you.
You Will:
Lead, inspire, and influence to make sure your team is successful
Partner with the recruiting team to attract and retain high-quality and diverse talent
Establish great rapport with other development teams, Product Managers, Sales and Customer Success tomaintain high levels of visibility, efficiency, and collaboration
Ensure teams have appropriate technical direction, leadership and balance between short-term impact andlong term architectural vision.
Occasionally contributing to development tasks such as coding and feature verifications to assist teamswith release commitments, to gain an understanding of the deeply technical product as well as to keepyour technical acumen sharp.
You'll need:
BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams
Strong fundamentals in distributed systems design and development
Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management
Experience running production services in Public Clouds such as AWS, GCP, and Azure
Experience with running large stateful data systems in the Cloud
Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization,orchestration, elastic scalability)
A great track record of shipping features and hitting deadlines consistently; should be able to move fast,build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them
Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team.









