VP – Enterprise Business Development

Job Title: Sr Dev Ops Engineer

Location: Bengaluru- India (Hybrid work type)

Reports to: Sr Engineer manager

About Our Client : 

We are a solution-based, fast-paced tech company with a team that thrives on collaboration and innovative thinking. Our Client's IoT solutions provide real-time visibility and actionable insights for logistics and supply chain management. Cloud-based, AI-enhanced metrics coupled with patented hardware optimize processes, inform strategic decision making and enable intelligent supply chains without the costly infrastructure

About the role : We're looking for a passionate DevOps Engineer to optimize our software delivery and infrastructure. You'll build and maintain CI/CD pipelines for our microservices, automate infrastructure, and ensure our systems are reliable, scalable, and secure. If you thrive on enhancing performance and fostering operational excellence, this role is for you. 

What You'll Do 🛠️

• Cloud Platform Management: Administer and optimize AWS resources, ensuring efficient billing and cost management.
• Billing & Cost Optimization: Monitor and optimize cloud spending.
• Containerization & Orchestration: Deploy and manage applications and orchestrate them.
• Database Management: Deploy, manage, and optimize database instances and their lifecycles.
• Authentication Solutions: Implement and manage authentication systems.
• Backup & Recovery: Implement robust backup and disaster recovery strategies, for Kubernetes cluster and database backups.
• Monitoring & Alerting: Set up and maintain robust systems using tools for application and infrastructure health and integrate with billing dashboards.
• Automation & Scripting: Automate repetitive tasks and infrastructure provisioning.
• Security & Reliability: Implement best practices and ensure system performance and security across all deployments.
• Collaboration & Support: Work closely with development teams, providing DevOps expertise and support for their various application stacks. 

What You'll Bring 💼

• Minimum of 4 years of experience in a DevOps or SRE role.
• Strong proficiency in AWS Cloud, including services like Lambda, IoT Core, ElastiCache, CloudFront, and S3.
• Solid understanding of Linux fundamentals and command-line tools.
• Extensive experience with CI/CD tools, GitLab CI.
• Hands-on experience with Docker and Kubernetes, specifically AWS EKS.
• Proven experience deploying and managing microservices.
• Expertise in database deployment, optimization, and lifecycle management (MongoDB, PostgreSQL, and Redis).
• Experience with Identity and Access management solutions like Keycloak.
• Experience implementing backup and recovery solutions.
• Familiarity with optimizing scaling, ideally with Karpenter.
• Proficiency in scripting (Python, Bash).
• Experience with monitoring tools such as Prometheus, Grafana, AWS CloudWatch, Elastic Stack.
• Excellent problem-solving and communication skills. 

Bonus Points ➕

• Basic understanding of MQTT or general IoT concepts and protocols.
• Direct experience optimizing React.js (Next.js), Node.js (Express.js, Nest.js) or Python (Flask) deployments in a containerized environment.
• Knowledge of specific AWS services relevant to application stacks.
• Contributions to open-source projects related to Kubernetes, MongoDB, or any of the mentioned frameworks.
• AWS Certifications (AWS Certified DevOps Engineer, AWS Certified Solutions Architect, AWS Certified SysOps Administrator, AWS Certified Advanced Networking).

Why this role: 

•You will help build the company from the ground up—shaping our culture and having an impact from Day 1 as part of the foundational team.

Required Skills

• 4-6 years of professional experience building server applications with Node.js and the Spring framework.
• Experience working with the AWS Development stack, including: Lambda, API Gateway, DynamoDB, Cognito, Mobile Analytics, EC2 and RDS

Experience working with a handful of the following:

• relational databases: MySQL, or PostgreSQL or Oracle
• document-based data stores: MongoDB or CouchDB,
• key-value stores: DynamoDB, Redis, Memcached
• column-stores: Cassandra, Vertica
• Ability to work with front-end web technologies, like: HTML5/CSS3/Angular/Bootstrap
• Strong familiarity with *nix command line operations

The Opportunity: We are seeking a highly experienced and passionate Lead Adobe Workfront & Fusion Developer to join our growing team. In this pivotal role, you will be instrumental in designing, developing, and implementing robust work management solutions and complex integrations using Adobe Workfront and Adobe Workfront Fusion. You will provide technical leadership, mentor junior developers, and play a critical role in optimizing our operational workflows.

Key Responsibilities:

• Solution Design & Architecture: Lead the end-to-end design and architectural planning of complex Workfront and Fusion solutions, ensuring scalability, maintainability, and alignment with business objectives.
• Development & Implementation: Hands-on development and configuration within Adobe Workfront, including custom forms, project templates, workflows, reports, dashboards, and access controls.
• Adobe Workfront Fusion Expertise: Design, build, and optimize intricate Workfront Fusion scenarios for data synchronization, automation, and integrating Workfront with various internal and external systems.
• API & Integration Development: Develop and manage API integrations between Workfront and other enterprise platforms (e.g., CRM, ERP, Marketing Automation, Asset Management) using Workfront Fusion, webhooks, and custom scripting.
• Technical Leadership & Mentorship: Provide technical guidance, mentorship, and code reviews to a team of Workfront/Fusion developers, ensuring best practices and high-quality deliverables.
• Requirements Analysis: Collaborate with business stakeholders to gather and analyze complex requirements, translating them into technical specifications and actionable development plans.
• Troubleshooting & Optimization: Diagnose and resolve technical issues related to Workfront configurations and Fusion integrations. Proactively identify and implement performance improvements.
• Documentation: Create and maintain comprehensive technical documentation, including solution designs, integration specifications, and operational procedures.
• Stay Current: Keep abreast of the latest Adobe Workfront and Workfront Fusion features, updates, and industry best practices.

Required Skills & Experience:

• 8+ years of total experience in software development, IT, or business systems analysis, with a strong focus on enterprise applications.
• Minimum 4+ years of hands-on, direct experience specifically implementing, configuring, and developing solutions within Adobe Workfront and Adobe Workfront Fusion.
• Proven expertise in designing and implementing complex Workfront workflows, custom data forms, and reporting structures.
• Demonstrable experience building and optimizing sophisticated Workfront Fusion scenarios, including knowledge of HTTP modules, JSON parsing, error handling, and various data manipulation techniques.
• Strong understanding of APIs (REST, SOAP) and experience with API integration concepts.
• Proficiency in JavaScript for scripting within Workfront or Fusion, and familiarity with HTML, CSS for Workfront UI customization.
• Experience with relational databases and SQL is a plus.
• Excellent problem-solving skills, analytical thinking, and attention to detail.
• Strong communication (written and verbal) and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders.
• Proven ability to lead technical initiatives and mentor team members.

Highly Desired (Bonus Points):

• Adobe Workfront Core Developer Certification.
• Adobe Workfront Fusion Certification.
• Experience with other Adobe Experience Cloud products (e.g., AEM, Marketo Engage).
• Familiarity with Agile development methodologies.

About The Role:

The products/services of Eclat Engineering Pvt. Ltd. are being used by some of the leading institutions in India and abroad. Our services/Products are rapidly growing in demand. We are looking for a capable and dynamic Senior DevOps engineer to help setup, maintain and scale the infrastructure operations. This Individual will have the challenging responsibility of channelling our IT infrastructure and offering customer services with stringent international standard levels of service quality. This individual will leverage the latest IT tools to automate and streamline the delivery of our services while implementing industry-standard processes and knowledge management.

Roles & Responsibilities:

- Infrastructure and Deployment Automation: Design, implement, and maintain automation for infrastructure

provisioning and application deployment. Own the CI/CD pipelines and ensure they are efficient, reliable, and

scalable.

- System Monitoring and Performance: -Take ownership of monitoring systems and ensure the health and

performance of the infrastructure. Proactively identify and address performance bottlenecks and system issues.

- Cloud Infrastructure Management: Manage cloud infrastructure (e.g., AWS, Azure, GCP) and optimize resource

usage. Implement cost-saving measures while maintaining scalability and reliability.

- Configuration Management: Manage configuration management tools (e.g., Ansible, Puppet, Chef) to ensure

consistency across environments. Automate configuration changes and updates.

- Security and Compliance: Own security policies, implement best practices, and ensure compliance with industry

standards. Lead efforts to secure infrastructure and applications, including patch management and access controls.

- Collaboration with Development and Operations Teams: Foster collaboration between development and

operations teams, promoting a DevOps culture. Be the go-to person for resolving cross-functional infrastructure

issues and improving the development process.

- Disaster Recovery and Business Continuity: Develop and maintain disaster recovery plans and procedures. Ensure

business continuity in the event of system failures or other disruptions.

- Documentation and Knowledge Sharing: Create and maintain comprehensive documentation for configurations,

processes, and best practices. Share knowledge and mentor junior team members.

- Technical Leadership and Innovation: Stay up-to-date with industry trends and emerging technologies. Lead efforts

to introduce new tools and technologies that enhance DevOps practices.

- Problem Resolution and Troubleshooting: Be responsible for diagnosing and resolving complex issues related to

infrastructure and deployments. Implement preventive measures to reduce recurring problems.

Requirements:

● B.E / B.Tech / M.E / M.Tech / MCA / M.Sc.IT (if not should be able to demonstrate required skills)

● Overall 3+ years of experience in DevOps and Cloud operations specifically in AWS.

● Experience with Linux Administrator

● Experience with microservice architecture, containers, Kubernetes, and Helm is a must

● Experience in Configuration Management preferably Ansible

● Experience in Shell Scripting is a must

● Experience in developing and maintaining CI/CD processes using tools like Gitlab, Jenkins

● Experience in logging, monitoring and analytics

● An Understanding of writing Infrastructure as a Code using tools like Terraform

● Preferences - AWS, Kubernetes, Ansible

Must Have:

● Knowledge of AWS Cloud Platform.

● Good experience with microservice architecture, Kubernetes, helm and container-based technologies

● Hands-on experience with Ansible.

● Should have experience in working and maintaining CI/CD Processes.

● Hands-on experience in version control tools like GIT.

● Experience with monitoring tools such as Cloudwatch/Sysdig etc.

● Sound experience in administering Linux servers and Shell Scripting.

● Should have a good understanding of IT security and have the knowledge to secure production environments (OS and server software).

• A minimum of 3 years of work experience in software quality assurance
• Solid experience in any of the programming languages such as Java, Python, JS, etc
• Experience working with Selenium automation testing, Jmeter, etc
• Strong knowledge of software QA methodologies, tools, and process
• Experience in writing clear, concise, and comprehensive test plans and test cases
• Hands-on experience with both white box and black box testing
• Solid experience in automation tools for unit, functional, API, UI, performance, and/or security testing
• Experience working in an Agile/Scrum development process
• Salesforce Testing, Certifications, and JIRA knowledge will be an advantage
• Hands-on experience in framework creation is preferable
• Experience in Git is mandatory

Roles and Responsibilities:

• Reviewing requirement documents, specifications to provide timely and meaningful feedback
• Creating detailed, comprehensive, and well-structured test plans and test cases
• Estimating, prioritizing, planning, and coordinating quality testing activities
• Designing and implementing tests, debugging and defining corrective actions
• Identify, record, document thoroughly, and track bugs
• Perform different levels of testing such as regression testing, sanity testing, smoke testing, etc
• Liaise with internal teams (e.g. developers and product owners) to identify system requirements, debug results
• Track quality assurance metrics
• Stay up to date with new testing tools and test strategies
• Managing and supporting the QA team
• Responsible for the deliverables of the QA team
• Reviewing test scenarios, test cases from the QA team

• Required to work individually or as part of a team on data science projects and work closely with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions.
• Build quick prototypes to check feasibility and value to the business.
• Design, training, and deploying neural networks for computer vision and machine learning-related problems.
• Perform various complex activities related to statistical/machine learning.
• Coordinate with business teams to provide analytical support for developing, evaluating, implementing, monitoring, and executing models.
• Collaborate with technology teams to deploy the models to production.

Key Criteria:

• 2+ years of experience in solving complex business problems using machine learning.
• Understanding and modeling experience in supervised, unsupervised, and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required.
• Experience in Computer Vision/Image Processing/Pattern Recognition, Machine Learning, Deep Learning, or Artificial Intelligence.
• Understanding of Deep Learning Architectures like InceptionNet, VGGNet, FaceNet, YOLO, SSD, RCNN, MASK Rcnn, ResNet.
• Experience with one or more deep learning frameworks e.g., TensorFlow, PyTorch.
• Knowledge of vector algebra, statistical and probabilistic modeling is desirable.
• Proficiency in programming skills involving Python, C/C++, and Python Data Science Stack (NumPy, SciPy, Pandas, Scikit-learn, Jupyter, IPython).
• Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus.
• Experience in data visualization software such as Tableau, ELK, etc is a plus.
• Strong analytical, critical thinking, and problem-solving skills.

• B.E/ B.Tech./ M. E/ M. Tech in Computer Science, Applied Mathematics, Statistics, Data Science, or related Engineering field.
• Minimum 60% in Graduation or Post-Graduation
• Great interpersonal and communication skills