Docker
Kubernetes
Amazon Web Services (AWS)About Us
We have grown over 1400% in revenues in the last year.
Interface.ai provides an Intelligent Virtual Assistant (IVA) to FIs to automate calls and customer inquiries across multiple channels and engage their customers with financial insights and upsell/cross-sell.
Our IVA is transforming financial institutions’ call centers from a cost to a revenue center.
Our core technology is built 100% in-house with several breakthroughs in Natural Language Understanding. Our parser is built based on zero-shot learning that helps us to launch industry-specific IVA that can achieve over 90% accuracy on Day-1.
We are 45 people strong with employees spread across India and US locations. Many of them come from ML teams at Apple, Microsoft, and Salesforce in the US along with enterprise architects with over 20+ years of experience building large-scale systems. Our India team consists of people from ISB, IIMs, and many who have been previously part of early-stage startups.
We are a fully remote team.
Founders come from Banking and Enterprise Technology backgrounds with previous experience scaling companies from scratch to $50M+ in revenues.
As a Site Reliability Engineer you will be in charge of:
- Designing, analyzing and troubleshooting large-scale distributed systems
- Engaging in cross-functional team discussions on design, deployment, operation, and maintenance, in a fast-moving, collaborative set up
- Building automation scripts to validate the stability, scalability, and reliability of interface.ai’s products & services as well as enhance interface.ai’s employees’ productivity
- Debugging and optimizing code and automating routine tasks
- Troubleshoot and diagnose issues (hardware or software), propose and implement solutions to ensure they occur with reduced frequency
- Perform the periodic on-call duty to handle security, availability, and reliability of interface.ai’s products
- You will follow and write good code and solid engineering practices
Requirements
You can be a great fit if you are :
- Extremely self motivated
- Ability to learn quickly
- Growth Mindset (read this if you don't know what it means - https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322" target="_blank">link)
- Emotional Maturity (read this if you don't know what it means - https://medium.com/@krisgage/15-signs-of-emotional-maturity-38b1a2ab9766" target="_blank">link)
- Passionate about the possibilities at the intersection of AI + Banking
- Worked in a startup of 5 to 30 employees
- Developer with a strong interest in systems Design. You will be building, maintaining, and scaling our cloud infrastructure through software tooling and automation.
- 4-8 years of industry experience developing and troubleshooting large-scale infrastructure on the cloud
- Have a solid understanding of system availability, latency, and performance
- Strong programming skills in at least one major programming language and the ability to learn new languages as needed
- Strong System/network debugging skills
- Experience with management/automation tools such as Terraform/Puppet/Chef/SALT
- Experience with setting up production-level monitoring and telemetry
- Expertise in Container management & AWS
- Experience with kubernetes is a plus
- Experience building CI/CD pipelines
- Experience working with Web sockets, Redis, Postgres, Elastic search, Logstash
- Experience working in an agile team environment and proficient understanding of code versioning tools, such as Git.
- Ability to effectively articulate technical challenges and solutions.
- Proactive outlook for ways to make our systems more reliable
Shubham Vishwakarma
Full Stack Developer - Averlon
About Interfaceai
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Location: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Open Roles: 1
Start: Immediate
Why this role exists
Most engineering teams choose between speed and stability.
We need both.
Today:
- Deployments carry risk
- Cloud costs are higher than they should be
- Compliance is reactive, not built-in
This role exists to build a platform where:
- We can deploy fast without breaking production
- We can scale without runaway cost
- We can pass enterprise InfoSec reviews without firefighting
What you’ll do
You will not just manage infrastructure.
You will build the platform that engineering runs on.
1. Drive cloud cost efficiency
- Reduce Azure compute spend by 40%
- Implement:
- Reserved Instances / savings plans
- Right-sizing of workloads
- Scheduling for non-critical workloads
- Continuously monitor and optimize cost vs performance
2. Build zero-downtime deployment systems
- Ship a deployment pipeline that supports:
- 5+ production deployments per week
- Zero customer-visible downtime
- Implement:
- Blue-green / canary deployments
- Automated health checks
- Safe rollout strategies
3. Enable fast and safe releases
- Reduce time-to-launch significantly
- Ensure:
- High reliability in every release
- Ability to rollback instantly if something breaks
- Create systems where:
- Scaling up is seamless when things go right
- Failures are contained when they don’t
4. Build disaster recovery and compliance readiness
- Create DR/BCP systems that pass enterprise audits from:
- HDFC Life, SBI Life
- Ensure:
- Backup and recovery processes are defined and tested
- Failover strategies are documented and executable
- Build compliance as part of the system, not an afterthought
5. Embed security into the pipeline
- Integrate:
- SAST (Static Application Security Testing)
- DAST (Dynamic Application Security Testing)
- SCA (Software Composition Analysis)
- Secret scanning
- Container scanning
- IaC scanning
- Ensure vulnerabilities are caught before deployment
6. Enforce policy-as-code
- Implement:
- OPA / Gatekeeper
- Azure Policy
- Prevent non-compliant infrastructure from being deployed
- Ensure consistency across environments
7. Build a scalable platform layer
- Create systems that:
- Support increasing deployment frequency
- Maintain reliability under scale
- Work closely with backend and SRE teams to:
- Improve system stability
- Reduce operational overhead
What success looks like
- Cloud costs reduce by ≥ 40%
- Deployments are:
- Frequent
- Safe
- Invisible to customers
- Rollbacks are instant and reliable
- DR/BCP passes enterprise audits in the first attempt
- Security is embedded in the pipeline, not patched later
- Engineering teams ship faster with confidence
Who you are
- You have 2-5 years of experience in DevOps / Platform Engineering
- You have worked with:
- Cloud platforms (Azure preferred)
- CI/CD systems
- Infrastructure as Code
- You think in:
- Systems
- Trade-offs (speed vs reliability vs cost)
- You are comfortable owning:
- Production infrastructure
- Deployment systems
What will make you stand out
- Experience with:
- High-frequency deployment systems
- Cost optimization at scale
- Security-first pipelines
- Strong understanding of:
- Kubernetes / container orchestration
- Monitoring and observability
- Distributed system reliability
- Experience passing enterprise security/compliance audits
Why join
- You will define how engineering ships and scales
- Your work directly impacts:
- Reliability
- Cost
- Deployment velocity
- You will build a platform that moves from:
- Fragile → predictable and scalable
What this role is not
- Not manual infra management
- Not reactive firefighting
- Not limited to CI/CD maintenance
What this role is
- A builder of deployment systems
- A driver of cost efficiency
- A guardian of reliability and compliance
One question to self-evaluate
Can you build a platform where we deploy faster, spend less, and never break production?
DockerKubernetesAmazon Web Services (AWS)LogiNext is looking for a technically savvy and passionate Principal DevOps Engineer or Senior Database Administrator to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust infrastructure.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in dev, staging and production environments.
Responsibilities:
Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases (especially MongoDB), web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Plan, implement and maintain robust backup and restoration policies ensuring low RTO and RPO Support several Linux servers running our SaaS platform stack on AWS, Azure, IBM Cloud, Ali Cloud Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations to automate daily tasks Ensure High Availability and Auto-failover with minimum or no manual interventions
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 8 to 10 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in query analysis, peformance tuning, database redesigning, Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
Amazon Web Services (AWS)DockerKubernetes- 2+ years work experience in a DevOps or similar role
- Knowledge of OO programming and concepts (Java, C++, C#, Python)
- A drive towards automating repetitive tasks (e.g., scripting via Bash, Python, etc)
- Fluency in one or more scripting languages such as Python or Ruby.
- Familiarity with Microservice-based architectures
- Practical experience with Docker containerization and clustering (Kubernetes/ECS)
- In-depth, hands-on experience with Linux, networking, server, and cloud architectures.
- Experience with CI/CD tools Azure DevOps, AWS cloud formation, Lamda functions, Jenkins, and Ansible
- Experience with AWS, Azure, or another cloud PaaS provider.
- Solid understanding of configuration, deployment, management, and maintenance of large cloud-hosted systems; including auto-scaling, monitoring, performance tuning, troubleshooting, and disaster recovery
- Proficiency with source control, continuous integration, and testing pipelines
- Effective communication skills
Job Responsibilities:
- Deploy and maintain critical applications on cloud-native microservices architecture.
- Implement automation, effective monitoring, and infrastructure-as-code.
- Deploy and maintain CI/CD pipelines across multiple environments.
- Streamline the software development lifecycle by identifying pain points and productivity barriers and determining ways to resolve them.
- Analyze how customers are using the platform and help drive continuous improvement.
- Support and work alongside a cross-functional engineering team on the latest technologies.
- Iterate on best practices to increase the quality & velocity of deployments.
- Sustain and improve the process of knowledge sharing throughout the engineering team
- Identification and prioritization of technical debt that risks instability or creates wasteful operational toil.
- Own daily operational goals with the team.
DockerKubernetesAmazon Web Services (AWS)knowledge of EC2, RDS and S3.
● Good command of Linux environment
● Experience with tools such as Docker, Kubernetes, Redis, NodeJS and Nginx
Server configurations and deployment, Kafka, Elasticsearch, Ansible, Terraform,
etc
● Bonus: AWS certification is a plus
● Bonus: Basic understanding of database queries for relational databases such as
MySQL.
● Bonus: Experience with CI servers such as Jenkins, Travis or similar types
● Bonus: Demonstrated programming capability in a high-level programming
language such as Python, Go, or similar
● Develop, maintain and administer tools which will automate operational activities
and improve engineering productivity
● Automate continuous delivery and on-demand capacity management solutions
● Developing configuration and infrastructure solutions for internal deployments
● Troubleshooting, diagnosing and fixing software issues
● Updating, tracking and resolving technical issues
● Suggesting architecture improvements, recommending process improvements
● Evaluate new technology options and vendor products. Ensuring critical system
security through the use of best in class security solutions
● Technical experience or in a similar role supporting large scale production
distributed systems
● Must understand overall system architecture , improve design and implement new
processes.
DockerKubernetesAmazon Web Services (AWS)The ideal person for the role will:
Possess a keen mind for solving tough problems by partnering effectively with various teams and stakeholders
Be comfortable working in a fast-paced, dynamic, and agile framework
Focus on implementing an end-to-end automated chain
Responsibilities
_____________________________________________________
Strengthen the application and environment security by applying standards and best practices and providing tooling to make development workflows more secure
Identify systems that can benefit from automation, monitoring and infrastructure-as-code and develop and scale products and services accordingly.
Implement sophisticated alerts and escalation mechanisms using automated processes
Help increase production system performance with a focus on high availability and scalability
Continue to keep the lights on (day-to-day administration)
Programmatically create infrastructure in AWS, leveraging Autoscaling Groups, Security Groups, Route53, S3 and IAM with Terraform and Ansible.
Enable our product development team to deliver new code daily through Continuous Integration and Deployment Pipelines.
Create a secure production infrastructure and protect our customer data with continuous security practices and monitoring. Design, develop and scale infrastructure-as-code
Establish SLAs for service uptime, and build the necessary telemetry and alerting platforms to enforce them
Architect and build continuous data pipelines for data lakes, Business Intelligence and AI practices of the company
Remain up to date on industry trends, share knowledge among teams and abide by industry best practices for configuration management and automation.
Qualifications and Background
_______________________________________________________
Graduate degree in Computer Science and Engineering or related technologies
Work or research project experience of 5-7 years, with a minimum of 3 years of experience directly related to the job description
Prior experience working in HIPAA / Hi-Trust frameworks will be given preference
About Witmer Health
_________________________________________________________
We exist to make mental healthcare more accessible, affordable, and effective. At Witmer, we are on a mission to build a research-driven, global mental healthcare company to work on developing novel solutions - by harnessing the power of AI/ML and data science - for a range of mental illnesses like depression, anxiety, OCD, and schizophrenia, among others. Our first foray will be in the space of workspace wellness, where we are building tools to help individual employees and companies improve their mental wellness and raise productivity levels.
KubernetesDockerAmazon Web Services (AWS)Hands on Experience with Linux administration
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
Amazon Web Services (AWS)DockerRoles and Responsibilities
- Primary stakeholder collaborating with Dir Engineering on software/infrastructure architecture, monitoring/alerting framework and all other architectural level technical issues
- Design and manage implementation of Silvermine’s high performance, scalable, extensible and resilient microservices application stack based of existing, partially migrated monolithic application and for new product development. Includes:
- Utilizing either ECS Fargate (no EC2 clusters) or EKS as the orchestration framework – to be tested up to a minimum of 100k concurrent users
- Exploring, designing and implementing use of on demand compute (Lambda) where appropriate
- Scalable and redundant data architecture supporting microservices design principles
- A scalable reverse proxy layer to isolate microservices from managing network connections
- Utilizing CDN capabilities to offload origin load via an intelligent caching strategy
- Leveraging best in breed AWS service offerings to enable team to focus on application stack instead of application scaffolding while minimizing operational complexity and cost
- Monitoring and optimizing of stack for
- Security and monitoring
- Leverage AWS and 3rd party services to monitor the application stack and data; secure them from DDOS attacks and security breaches; and alert the team in the vent of an incident
- Using APM and logging tools:
- Monitor application stack and infrastructure component performance
- Proactively detect, triage and mitigate stack performance issues
- Alert upon exception events
- Provide triaging tools for debugging and Root Cause Analysis.
- Enhance the CI/CD pipeline to support automated testing, a resilient deployment model (e.g., blue-green, canary) and 100% rollback support (including the data layer)
- Development a comprehensive, supportable, repeatable IAC implementation using CloudFormation or Terraform
- Take a leadership role and exhibit expertise in the development of standards, architectural governance, design patterns, best practices and optimization of existing architecture.
- Partner with teams and leaders to provide strategic consultation for business process design/optimization, creating strategic technology road maps, performing rapid prototyping and implementing technical solutions to accelerate the fulfillment of the business strategic vision.
- Staying up to date on emerging technologies (AI, Automation, Cloud etc.) and trends with a clear focus on productivity, ease of use and fit-for-purpose, by researching, testing, and evaluating.
- Providing POCs and product implementation guidelines.
- Applying imagination and innovation by creating, inventing, and implementing new or better approaches, alternatives and breakthrough ideas that are valued by customers within the function.
- Assessing current state of solutions, defining future state needs, identifying gaps and recommending new technology solutions and strategic business execution improvements.
- Overseeing and facilitating the evaluation and selection technology, product standards and the design of standard configurations/implementation patterns.
- Partnering with other architects and solution owners to create standards and set strategies for the enterprise.
- Communicating directly with business colleagues on applying digital workplace technologies to solve identified business challenges.
Skills Required:
- Good mentorship skills to coach and guide the team on AWS DevOps.
- Jenkins, Python, Pipeline as Code, Cloud Formation Templates and Terraform.
- Experience with Dockers, Containers, Lambda and Fargate is a must
- Experience with CI/CD and Release management
- Strong proficiency in PowerShell scripting
- Demonstrable expertise in Java
- Familiarity with REST APIs
Qualifications:
- Minimum of 5 years of relevant experience in Devops.
- Bachelors or Masters in Computer Science or equivalent degree.
- AWS Certifications is added advantage
DockerKubernetes
Jenkins
GitAs DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.
- Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
- Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
- Working on Docker images and maintaining Kubernetes clusters.
- Develop and maintain the automation scripts using Ansible or other available tools.
- Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
- Working on Cloud security tools to keep applications secured.
- Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
- Required Technical and Professional Expertise.
- Minimum 4-6 years of experience in IT industry.
- Expertise in implementing and managing Devops CI/CD pipeline.
- Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
- Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
- Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
- Knowledge of Docker and Kubernetes is required.
- Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
- Experience with working with ticketing tools.
- Middleware technologies knowledge or database knowledge is desirable.
- Experience and well versed with Jira tool is a plus.
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. However, we assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.
Amazon Web Services (AWS)If you are looking for good opportunity in Cloud Development/Devops. Here is the right opportunity.
EXP: 4-10 YRs
Location:Pune
Job Type: Permanent
Minimum qualifications:
- Education: Bachelor-Master degree
- Proficient in English language.
Relevant experience:
- Should have been working for at least four years as a DevOps/Cloud Engineer
- Should have worked on AWS Cloud Environment in depth
- Should have been working in an Infrastructure as code environment or understands it very clearly.
- Has done Infrastructure coding using Cloudformation/Terraform and Configuration Management using Chef/Ansibleand Enterprise Bus(RabbitMQ/Kafka)
- Deep understanding of the microservice design and aware of centralized Caching(Redis), centralizedconfiguration(Consul/Zookeeper)
Amazon Web Services (AWS)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon