Acceldata Career

Program / Senior Program Manager

Job Description

Responsibilities

• Define and develop roadmaps to deliver strategic goals
• Regularly review the annual and quarterly roadmaps and refine the scope and priorities
• Drive progress reviews with senior management and leadership
• Identify risks and develop mitigation plans
• Report plans, progress, risks regularly at different levels
• Develop release management plans, processes and drive the adoption
• Develop release calendars and release management plans to achieve the same
• Drive sprint planning, standup meetings and ensure the work being done follows the plans
• Lead the customer engagements, set up processes, tools to manage the engagements
• Lead progress reviews, discussions around new requirements and issues with customers and internal teams to ensure customer success
• Articulate customers requirements to the cross functional teams, plan to deliver them
• Organize and manage all phases of the programs to ensure on-time completion

Knowledge and Skills

• Thorough understanding of Software Development Lifecycle (SDLC)
• Experience in managing complex cross-functional large scale enterprise projects. 
• Good understanding of tools used for development, QE and Dev Ops
• Experience in setting up, configuring and driving usage of project management tools
• Experience in managing releases in both Cloud and On-Premise environments
• Demonstrated ability to partner with different functions across the organization
• Experience setting up templates and processes that are repeatable
• Passion for using data to drive reviews and decision making
• Ability to write crisp and robust stories to communicate complex issues, requirements

Education

• Bachelor’s degree in computer science from a reputed college
• PMP Certification is a plus
• ITIL Certification is a plus

Experience

• At least 2-3 years in a software development role
• At least 1-2 years in a technical lead role independently managing sub-projects / development of components
• At least 5-7 years in managing software development projects using agile methodologies
• At least 3-4 years (running in parallel to the above) managing releases to the cloud and / or on-prem environments

Total minimum experience for program manager: 12 years.

Total minimum experience for Sr. Program manager: 14 years.

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

1. 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
2. Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
3. Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
4. Basic understanding of SQL
5. Experience working with technologies like S3, Kubernetes experience preferred.
6. Databricks/Hadoop/Kafka experience preferred but not required

 

 

 

 

 

 

 

You will join a team of highly skilled engineers who are responsible for delivering Acceldata’s support services. Our Site Reliability Engineers are trained to be active listeners and demonstrate empathy when customers encounter product issues. In our fun and collaborative environment  Site Reliability Engineers develop strong business, interpersonal and technical skills to deliver high-quality service to our valued customers.

When you arrive for your first day, we’ll want you to have:

• Solid skills in troubleshooting to repair failed products or processes on a machine or a system using a logical, systematic search for the source of a problem in order to solve it, and make the product or process operational again
• A strong ability to understand the feelings of our customers as we empathize with them on the issue at hand
• A strong desire to increase your product and technology skillset; increase- your confidence supporting our products so you can help our customers succeed

In this position you will…

• Provide Support Services to our Gold & Enterprise customers using our flagship Acceldata Pulse,Flow & Torch Product suits. This may include assistance provided during the engineering and operations of distributed systems as well as responses for mission-critical systems and production customers.
• Demonstrate the ability to actively listen to customers and show empathy to the customer’s business impact when they experience issues with our products
• Participate in the queue management and coordination process by owning customer escalations, managing the unassigned queue.
• Be involved with and work on other support related activities - Performing POC & assisting Onboarding deployments of Acceldata & Hadoop distribution products.
• Triage, diagnose and escalate customer inquiries when applicable during their engineering and operations efforts.
• Collaborate and share solutions with both customers and the Internal team.
• Investigate product related issues both for particular customers and for common trends that may arise
• Study and understand critical system components and large cluster operations
• Differentiate between issues that arise in operations, user code, or product
• Coordinate enhancement and feature requests with product management and Acceldata engineering team.
• Flexible in working in Shifts.
• Participate in a Rotational weekend on-call roster for critical support needs.
• Participate as a designated or dedicated engineer for specific customers. Aspects of this engagement translates to building long term successful relationships with customers, leading weekly status calls, and occasional visits to customer sites

In this position, you should have…

• A strong desire and aptitude to become a well-rounded support professional. Acceldata Support considers the service we deliver as our core product.
• A positive attitude towards feedback and continual improvement
• A willingness to give direct feedback to and partner with management to improve team operations
• A tenacity to bring calm and order to the often stressful situations of customer cases
• A mental capability to multi-task across many customer situations simultaneously
• Bachelor degree in Computer Science or Engineering or equivalent experience. Master’s degree is a plus
• At least 2+ years of experience with at least one of the following cloud platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), experience with managing and supporting a cloud infrastructure on any of the 3 platforms. Also knowledge on Kubernetes, Docker is a must.
• Strong troubleshooting skills (in example, TCP/IP, DNS, File system, Load balancing, database, Java)
• Excellent communication skills in English (written and verbal)
• Prior enterprise support experience in a technical environment strongly preferred

Strong Hands-on Experience Working With Or Supporting The Following

• 8-12 years of Experience with a highly-scalable, distributed, multi-node environment (50+ nodes)
• Hadoop operation including Zookeeper, HDFS, YARN, Hive, and related components like the Hive metastore, Cloudera Manager/Ambari, etc
• Authentication and security configuration and tuning (KNOX, LDAP, Kerberos, SSL/TLS, second priority: SSO/OAuth/OIDC, Ranger/Sentry)
• Java troubleshooting, e.g., collection and evaluation of jstacks, heap dumps

You might also have…

• Linux, NFS, Windows, including application installation, scripting, basic command line
• Docker and Kubernetes configuration and troubleshooting, including Helm charts, storage options, logging, and basic kubectl CLI

• Experience working with scripting languages (Bash, PowerShell, Python)
• Working knowledge of application, server, and network security management concepts
• Familiarity with virtual machine technologies
• Knowledge of databases like MySQL and PostgreSQL,
• Certification on any of the leading Cloud providers (AWS, Azure, GCP ) and/or Kubernetes is a big plus

The right person in this role has an opportunity to make a huge impact at Acceldata and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you to apply! An adventure in data awaits.

Learn more at https://www.acceldata.io/about-us

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies,and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast.
Our Engineering team values productivity, integrity, and pragmatism. 

What Will You Do
● Improve automation code structure and framework architecture in terms of
maintainability, execution speed, and coverage; write, co-write, and review test
design/plan documentation
● Own communication throughout the sprint/release cycle, quality of features, and the
delivery of the entire feature
● Lead new language/framework POC within the technical focus area
● Drive the design/code review process for test automation, seeking and providing
constructive criticism
● Ensure your team has strong sets of documentations and journals of how their test
design and architecture/product evolves over time.
● Lead effort in working with other teams and counterparts to solve problems affecting the
team's overall delivery
● Participate in the prioritization of cross-team automation initiatives & lead those within
your own team
● Participate/Support in production/Customer deployment.

What you will Bring
● 10+ years of experience in professional testing
● Familiarity with Microservices architecture
● Deep understanding of Manual & Automation test methodologies and principles
● Strong problem-solving, interpersonal, organizational, and time management skills
● Passion for self-improvement and continual learning
● Great attitude and adaptable to taking on many diverse responsibilities
● Experience working with Web and API Testing - both manual & automation
● Experience using tools such as Jira, Git, Selenium, RestAssured, TestNG,CI/CD
pipelines.
● Experience in setting up test Infra for Functional and Non-Functional testing.
● Experience working with programming languages like Java/Python.
● Experience working with Agile process management methodology
● Experience of Performance / Security Testing and Linux/Unix commands

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale.Our customers include a Fortune 500 company, one of Asia's largest telecom companies,and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast.
Our Engineering team values productivity, integrity, and pragmatism. 

Job Description-
● A minimum of 4+ years of relevant experience in Inside Sales/Business Development with
experience in IT Enterprise sales
● Identify, qualify, and develop new business opportunities to achieve our sales objectives.
● Performing Sourcing, Lead Generation, Cold Calling, prospecting, finding new customers,
Building pipeline for Account Executive.
● Perform market research and analysis to identify and develop potential customers.
● Generate high potential leads through discovery calls, LinkedIn, and email campaigns and
grow a pipeline to meet the requirements of the sales targets.
● Collaborate with the Marketing team, Account Executives, Global Operations, and Solution
Engineers to develop strategic sales initiatives.
● Should have been part of Inside sales role (preferably services - B2B), US market
prospecting/selling to Fortune 500/1000.

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast.
Our Engineering team values productivity, integrity, and pragmatism. 

Job Description-
We are looking for a seasoned ML engineer who is able to understand customer needs along with any technical constraints, and be responsible for conceiving the product idea based on variety and amount of data we have available with us (in the BigData ecosystem), and then can translate them into product features leading to the success of our customers. The ML engineer will also be expected to design the overall functionality of the product, coding ML applications in distributed environments and seeing them through production.

Basic Qualifications:
● Degree in Computer Science, Mathematics, Data Science, Statistics or equivalent proven experience.
● Experience as an ML Engineer or Data scientist, ideally from a data or software engineering background.
● Minimum 4+ years of hands-on experience in developing and deploying(Docker, Kubernetes, etc) machine learning solutions into production environments.
● Excellent programming skills in Python and Scala and hands-on with Spark.
● Proficient with any of the Machine learning or Deep Learning framework like sklearn, spark ML,TensorFlow/Keras, PyTorch
● Strong system design and architecture skills, having individually led a project from design to delivery
● Exposure to container orchestration of production environments, DevOps and CI/CD

Plus:
● Experience with a JVM based language (Java, Scala, Kotlin) is a plus.
● Experience with time series data analysis and models
● Familiarity with cloud environments (GCP, AWS, Azure).

Development Projects

                                                                                                                       

Backlog Create: Work with cross functional teams to breakdown the quarterly objectives into tasks and create backlog in Jira

                       

Groom: Review the backlog regularly for each product / team and keep the items up-to-date and prioritized

                                                                                               

Planning: From the backlog create sprint plans for all our products and cross functional teams every two weeks

                                                                                               

Estimation: Ensure all the tasks in sprint have assignments, estimates added in Jira and the time spent is recorded

• Ensure all the tasks in sprint have start and end dates - Scheduling, Tracking, Releases
• Work with team to plot the tasks in the sequence as they would be delivered to ensure the planning is realistic
• Attend regular sprint meetings and monitor the progress against the plan o Find out the dependencies and work with cross functional teams to resolve them. 
• Find out the risks, create plans to mitigate them
• Work with cross functional teams to determine the scope of each release o Prepare release plans
• Review the release progress regularly 
• Manage the dependencies and risks

Documentation

• Process Documents : Document the processes that the teams follow and their life-cycle

• Product Documents : Work with cross functional teams to ensure the documentation artifacts are created for each release, reviewed and signed off before the release

Reporting : Weekly Progress Reports o Sprint Reports

Communication

Apart from regularly reporting the project manager need to be able to communicate with teams and management on a day-to-day basis on ongoing product development and release activities to be effective

                                                                                                                       

Customer Projects

• Meet regularly with customers to understand the issues, solution to the use-cases, update implementation schedule and key milestones                                                                                                                   
• Work with customers to plans, schedule and execute the deployment, integration, upgrade, migration activities                                                                                                                                                                                                                                                                                                                 Obtain feedback on product and service performance and take them to management and cross functional teams to ensure they are added to the product backlog                                                                                                                   
• Serve as the primary voice of the customers within Acceldata and advocate on customers’ behalf                                                                                                                   Engage in and coordinate efforts to provide customer support and solutions by leading cross-functional efforts to ensure customer success                                                                                                                   
• Attend periodic business review meetings, as required, to provide progress on specific customer accounts                                                                                                                   Develop and manage improvement strategies for customer success. Hold retrospective reviews after every key milestone, document the outcomes and ensure the actions are implemented                                                                                                                   
• Coordinate with the Site Reliability team to drive value with key accounts
• Prepare periodical reports on customer’s health and report out to management to identify customer experience risks and drive internal change to support continuous customer experience improvement                                                                                                                                                                                            

Knowledge, Skills and Experience:                                                                                                    

• To succeed at this job, you must have 5 - 8 years of experience in managing development projects   
• 3 - 5 years of experience in managing releases /roll out to customers 
• Be Customer Success driven to Have strong leadership and influencing skills 
• Have the ability to track and manage multiple customer programs from inception to implementation o Be able to collect, analyze, present data in support of recommendations 
• Possess the ability to foster working relationships and establish trust across the organization both internally and with customers.

Job Description :

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast. Our Engineering team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.

Roles & responsibilities:

• Champion engineering and operational excellence.
• Establish a solid infrastructure framework and excellent development and deployment processes.
• Provide technical guidance to both your team members and your peers from the development team.
• Work with the development teams closely to gather system requirements, new service proposals and large system improvements and come up with the infrastructure architecture leading to stable, well-monitored fly, performant and secure systems.
• Be part of and help create a positive work environment based on accountability.
• Communicate across functions and drive engineering initiatives.
• Initiate cross team collaboration with product development teams to develop high quality, polished products and services.

Must haves:

• 5+ years of professional experience developing, and launching software products on Cloud.
• Basic understanding Java/Go Programming
• Good Understanding of Container Technologies/Orchestration platforms (e. g Docker, Kubernetes)
• Deep understanding of AWS or Any Cloud.
• Good understanding of data stores like Postgres, Redis, Kafka, and Elasticsearch.
• Good Understanding of Operating systems
• Strong technical background with track record of individual technical accomplishments
• Ability to handle multiple competing priorities in a fast paced environment
• Ability to establish credibility with smart engineers quickly.
• Most importantly, ability to learn and urge to learn new things.
• B.Tech/M.Tech in Computer Science or a related technical field.

Good to Have:

• Hands-on knowledge of Configuration Management and Deployment tools like – Ansible, Terraform etc.
• Proficient in scripting, and Git and Git workflows
• Experience in developing Continuous Integration/ Continuous Delivery pipelines
• Knowledge of Big Data systems.

 

Platform Engineering Team - where HE/SHE will be a direct impact on the entire engineering org by leading the design, build, and test of critical systems leveraged by all engineers every day. HE/SHE will manage and operate CI/CD systems, Artefact management systems, and common infra automation. HE/SHE will be partnering with engineering teams and developing scalable tools and infrastructure that help engineers develop, test, debug, and release software quickly.

 

• 2 to 5 years of total experience and at least 2+ years of Go programming experience.
• Hands-on experience in Go programming language paradigms, constructs, and idioms is a must.
• Experience on Golang frameworks such as https://github.com/spf13/cobra" target="_blank">Cobra, https://github.com/gin-gonic/gin" target="_blank">Gin or https://github.com/hashicorp/go-plugin" target="_blank">HashiCorp's Go-Plugin are an added advantage.
• Understanding of Go specific data structures & algorithms, RESTful web services and work with relational & non-relational databases.
• Ability to write performant, well-documented and unit test covered code in an easily understandable structure.
• Knowledge of DevOps tools such as Docker/Kubernetes and practices is an advantage.
• Strong passion for Linux and system application development.
• Work independently and proactively to deliver production-ready code with minimal guidance.

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What you will do:
• Primarily developing/extending Linux command-line (CLI) applications for the various product offerings at Acceldata. (Example: tools similar to kubecli, docker-cli and aws-cli).
• Extending our existing internal tools developed in Go programming language by developing various plugins. (Example: plugins that can extend the functionalities of Telegraf, Filebeat etc.,)
• Develop web applications that will chain the internal tools with the various APIs/services at the customer's end.