Growth Hacker & Digital Marketer

Job Title: Cloud Operations Engineer (SRE)

Location: Bangalore, India

Experience: 5 – 12 years

Notice Period: Preferred short joiners

About Us:

At OUR CUSTOMER, we are on a mission to empower broadband operators to deliver an exceptional connected home experience for their subscribers. As the most widely deployed provider of Smart Wi-Fi solutions, our technologies enhance user experiences in over 35 million homes worldwide.

Our portfolio includes Smart Wi-Fi software, a cloud-based experience management platform, and advanced data-driven solutions. We provide customized engineering and testing services to help broadband operators deliver high-quality, seamless connectivity.

Join us in building resilient, scalable, and secure cloud solutions that drive the future of broadband!

Job Overview:

We are seeking a highly skilled Cloud Operations Engineer (SRE) with expertise in AWS cloud infrastructure, automation, monitoring, and performance optimization. You will be responsible for ensuring the reliability, scalability, security, and efficiency of our cloud-based applications while driving automation and operational excellence.

This role requires deep knowledge of AWS services, Infrastructure as Code (IaC), monitoring, troubleshooting, and DevOps best practices.

Key Responsibilities:

1. AWS Infrastructure Management:

• Design, implement, and manage scalable, secure, and high-performance AWS cloud environments.
• Optimize cost, performance, and reliability across cloud services.

2. Site Reliability Engineering (SRE):

• Ensure high availability and performance of cloud environments through monitoring, automation, and incident response.
• Implement self-healing and fault-tolerant architectures.

3. Monitoring & Operations:

• Deploy and manage monitoring and logging tools (AWS CloudWatch, Datadog, ELK, Prometheus, Grafana).
• Define SLIs, SLOs, and SLAs for cloud services.
• Proactively analyze performance trends and prevent outages.

4. Automation & Infrastructure as Code (IaC):

• Automate cloud provisioning and management using Terraform, AWS CloudFormation, or Ansible.
• Build and maintain CI/CD pipelines for seamless deployments.
• Use Python, Bash, or other scripting languages to automate operational tasks.

5. Incident Management & Troubleshooting:

• Respond to incidents, outages, and performance issues in a timely manner.
• Conduct root cause analysis (RCA) and implement preventive measures.
• Document incidents and create post-mortem reports.

6. Security & Compliance:

• Implement AWS security best practices, including IAM policies, network security, and encryption.
• Ensure compliance with industry regulations (GDPR, HIPAA, etc.).
• Regularly audit and enhance cloud security posture.

7. Backup, Disaster Recovery & Capacity Planning:

• Develop and manage backup strategies, disaster recovery plans, and high-availability architectures.
• Plan for future capacity needs, scaling resources based on demand.

8. Collaboration & Documentation:

• Work closely with Development, QA, Security, and Product teams to streamline operations.
• Create and maintain detailed technical documentation, architecture diagrams, and operational runbooks.

Qualifications & Skills:

Mandatory:

✅ Education: Bachelor’s degree in Computer Science, Information Technology, or related fields.

✅ Experience: 5+ years as a Cloud SRE, Operations Engineer, or DevOps Engineer with a focus on AWS services.

✅ Cloud Expertise: Strong hands-on experience with AWS services (EC2, S3, RDS, Lambda, ECS, EKS, VPC, Route 53, IAM, etc.).

✅ Infrastructure as Code (IaC): Proficiency with Terraform, AWS CloudFormation, or Ansible.

✅ Linux & Automation: Strong knowledge of Linux/Unix system administration, shell scripting, and automation using Python or Bash.

✅ Monitoring & Logging: Experience with CloudWatch, Datadog, Prometheus, ELK stack, Grafana.

✅ CI/CD & DevOps: Hands-on experience with Jenkins, GitLab CI/CD, CircleCI, or equivalent tools.

✅ Networking: Solid understanding of DNS, Load Balancing, VPNs, Firewalls, and Network Security.

✅ Problem-Solving: Strong analytical skills to troubleshoot and resolve cloud infrastructure issues.

✅ Communication: Excellent verbal and written communication skills to collaborate across teams.

Preferred:

⭐ AWS Certification (AWS Certified Solutions Architect, AWS Certified DevOps Engineer).

⭐ Experience with containerization (Docker, Kubernetes, EKS, Fargate).

⭐ Knowledge of security best practices, compliance (GDPR, HIPAA, etc.).

⭐ Familiarity with GitOps, service mesh technologies, and serverless architectures.

⭐ Experience working in Agile & DevOps environments.

The Sr AWS/Azure/GCP Databricks Data Engineer at Koantek will use comprehensive

modern data engineering techniques and methods with Advanced Analytics to support

business decisions for our clients. Your goal is to support the use of data-driven insights

to help our clients achieve business outcomes and objectives. You can collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources and

patterns, insights, and trends to decision-makers. You will help design and build data

pipelines, data streams, reporting tools, information dashboards, data service APIs, data

generators, and other end-user information portals and insight tools. You will be a critical

part of the data supply chain, ensuring that stakeholders can access and manipulate data

for routine and ad hoc analysis to drive business outcomes using Advanced Analytics. You are expected to function as a productive member of a team, working and

communicating proactively with engineering peers, technical lead, project managers, product owners, and resource managers. Requirements:

 Strong experience as an AWS/Azure/GCP Data Engineer and must have

AWS/Azure/GCP Databricks experience.  Expert proficiency in Spark Scala, Python, and spark

 Must have data migration experience from on-prem to cloud

 Hands-on experience in Kinesis to process & analyze Stream Data, Event/IoT Hubs, and Cosmos

 In depth understanding of Azure/AWS/GCP cloud and Data lake and Analytics

solutions on Azure.  Expert level hands-on development Design and Develop applications on Databricks.  Extensive hands-on experience implementing data migration and data processing

using AWS/Azure/GCP services

 In depth understanding of Spark Architecture including Spark Streaming, Spark Core, Spark SQL, Data Frames, RDD caching, Spark MLib

 Hands-on experience with the Technology stack available in the industry for data

management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc

 Hands-on knowledge of data frameworks, data lakes and open-source projects such

asApache Spark, MLflow, and Delta Lake

 Good working knowledge of code versioning tools [such as Git, Bitbucket or SVN]

 Hands-on experience in using Spark SQL with various data sources like JSON, Parquet and Key Value Pair

 Experience preparing data for Data Science and Machine Learning with exposure to- model selection, model lifecycle, hyperparameter tuning, model serving, deep

learning, etc

 Demonstrated experience preparing data, automating and building data pipelines for

AI Use Cases (text, voice, image, IoT data etc. ).  Good to have programming language experience with. NET or Spark/Scala

 Experience in creating tables, partitioning, bucketing, loading and aggregating data

using Spark Scala, Spark SQL/PySpark

 Knowledge of AWS/Azure/GCP DevOps processes like CI/CD as well as Agile tools

and processes including Git, Jenkins, Jira, and Confluence

 Working experience with Visual Studio, PowerShell Scripting, and ARM templates.  Able to build ingestion to ADLS and enable BI layer for Analytics

 Strong understanding of Data Modeling and defining conceptual logical and physical

data models.  Big Data/analytics/information analysis/database management in the cloud

 IoT/event-driven/microservices in the cloud- Experience with private and public cloud

architectures, pros/cons, and migration considerations.  Ability to remain up to date with industry standards and technological advancements

that will enhance data quality and reliability to advance strategic initiatives

 Working knowledge of RESTful APIs, OAuth2 authorization framework and security

best practices for API Gateways

 Guide customers in transforming big data projects, including development and

deployment of big data and AI applications

 Guide customers on Data engineering best practices, provide proof of concept, architect solutions and collaborate when needed

 2+ years of hands-on experience designing and implementing multi-tenant solutions

using AWS/Azure/GCP Databricks for data governance, data pipelines for near real-

time data warehouse, and machine learning solutions.  Over all 5+ years' experience in a software development, data engineering, or data

analytics field using Python, PySpark, Scala, Spark, Java, or equivalent technologies.  hands-on expertise in Apache SparkTM (Scala or Python)

 3+ years of experience working in query tuning, performance tuning, troubleshooting, and debugging Spark and other big data solutions.  Bachelor's or Master's degree in Big Data, Computer Science, Engineering, Mathematics, or similar area of study or equivalent work experience

 Ability to manage competing priorities in a fast-paced environment

 Ability to resolve issues

 Basic experience with or knowledge of agile methodologies

 AWS Certified: Solutions Architect Professional

 Databricks Certified Associate Developer for Apache Spark

 Microsoft Certified: Azure Data Engineer Associate

 GCP Certified: Professional Google Cloud Certified

Roles and Responsibilities:



Curriculum Development:

• Design and develop engaging LMS course content, modules, and assessments.

Content Management:

• Upload, organize, and maintain course materials within the LMS.

Stakeholder Collaboration:

• Work with subject matter experts and department heads to identify training needs and gather content.

Quality Assurance:

• Review and test course content to ensure it meets quality standards.

User Support:

• Provide guidance to learners and develop support materials like user guides and FAQs.

Evaluation and Improvement:

• Assess training effectiveness through evaluations and feedback, and implement improvements.

Qualifications:

• Bachelor’s degree in Education, Instructional Design, HR, or related field.
• Experience in curriculum development and instructional design for LMS.
• Proficiency with LMS software and e-learning authoring tools.
• Strong project management and communication skills.
• Detail-oriented with an analytical mindset.

Regards,

Dhivya V

About the role

• Manage new products and features, improve existing products and features.
• Customer obsession & talking to customers on a regular basis.
• Hard core prioritisation on what is most important for users.
• Clear decision making in ambiguous situations using data & connecting the dots.
• Partner with engineering & design to ship great products & features

Qualifications and Experience

• 3-5 years managing cross disciplinary products at scale as a product manager
• Strong passion for Privacy. Although no previous experience in this domain is required and mentorship will be provided, you must be willing to become a deep expert in this field.
• Computer Engineering or Software Engineering background with the ability to parse various layers of a software stack (to understand its implications on Privacy)
• A history of building and cultivating lasting cross-functional partnerships with both internal and external groups across Engineering, Product, Security, and Legal
• You are a strategic problem solver and valued collaborator; you are just as comfortable strategizing and leading as you are diving into the details of product work when circumstances require it.
• An entrepreneurial mentality and are flexible, self-motivated, dedicated, and hard-working. You actively recognise needs, resolve problems, anticipate issues, and develop solutions.

About Client:

A dynamic digital marketing agency collaborating with agencies, advertisers, and publishers. Specializing in yield management, inventory optimization, and executing online display campaigns, our client also provides end-to-end digital marketing services for SMEs. Founded by IIM Ahmedabad alumni and ex-Ozone Media team members.

Key Responsibilities:

- Prospect, acquire, and nurture relationships with strategic publishers.

- Manage a team of 2-3 Publisher Development Representatives.

- Contribute to client's publisher development strategies.

- Study clients' existing advertising options, advising on seamless integration with our offerings.

- Articulate our client's value proposition across media solutions and ad technology, through both written and verbal communication.

- Build relationships across publisher organizations (executives, sales teams, ad ops, research).

- Track and manage the publisher acquisition pipeline and account activities.

- Collaborate with internal teams on sales strategy, techniques, and execution.

- Oversee all aspects of the sales process from pre-sale to close, providing ongoing sales consultation.

Requirements and Qualifications:

- Graduate degree in any discipline.

- Strong problem-solving and interpersonal skills.

- 5-7 years of industry experience, including 2 years with US Publishers.

- Previous roles in ad-serving technology, ad networks, or large Ad tech companies preferred.

- Ability to work with cross-functional teams and knowledge of pre and post-sales processes.

- Existing relationships with large premium publishers are preferred.

- High energy, self-motivated, and passionate about a fast-paced startup environment.

- Enthusiastic about the dynamic, fast-growing company and industry.

Other Benefits:

- Insurance: Medical coverage of 3,00,000 for individuals, spouses, and kids, with an option to include parents and higher coverage of 5,00,000.

- Professional Development: Reimbursement for relevant courses to support career growth and knowledge enhancement.

- Food: Enjoy breakfast, lunch, tea, and snacks – all you can eat!

- Work Culture: Embrace a flexible, result-oriented work environment.

- Dress: No dress code – wear anything you're comfortable in.

- Recreation: Engage in foosball, carom, and table tennis with like-minded colleagues.

- TGIF: Wrap up the week with fun activities – work hard, party harder!

• The CTO will set company’s technological vision and lead its execution.
• Responsible to build and scale an online B2B / B2C platform from the scratch
• Build a solid technical team across Software development, Architecture & design, Dev Ops / Infrastructure.

• Min 5 years of experience must have headed a full journey experience of scaling up software product & technology from scratch within a B2C or B2B environment during zero to one phase of the startup
• Proven ability to work in the intersection of technology and business to drive revenue growth. Must have experience of working in a start-up during zero to one phase along with Founder/s or at a Founder/s minus 1 level.
• Proven experience of building and leading engineering teams that have scaled along the journey.
• Must have experience managing teams across Software development, Architecture & design, Dev Ops / Infrastructure
• Candidate must have nuanced understanding of trade-offs among features, risks and costs.