
BASIC QUALIFICATIONS
- BS level technical degree or equivalent professional
- Skills to represent AWS ProServe well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation
- Demonstrated ability to think strategically about business, product, and technical challenges
- ·Highly technical and analytical, possessing 15 or more years of IT implementation experience
- ·Proven experience with software development life cycle (SDLC) and agile/iterative methodologies required
- Hands on experience in infrastructure implementation
- Automation skills python, powershell knowledgeand cloud formation template
- Strong experience in Architecture, designing and migrating applications on the AWS platform
- Experience with IT compliance and risk management requirements (eg. security, privacy, SOX, HIPPA etc.)
- Experience working with customers, partners or third-party developers
- Strong verbal and written communications skills and ability to lead effectively across organizations
PREFERRED QUALIFICATIONS
o Demonstrated success as a Cloud Infrastructure architect or consultant working with various platforms
o Experience architecting highly available systems that utilize load balancing, horizontal scalability and high availability
o Cloud certifications
o Good exposure to Agile software development and DevOps practices such as Infrastructure as Code (IaC), Continuous Integration and automated deployment
o Presenting at public events such as technology conferences, hackathons, blogging, writing on technical forums, etc.

Similar jobs
JOB DETAILS:
* Job Title: Lead I - Azure, Terraform, GitLab CI
* Industry: Global Digital Transformation Solutions Provider
* Salary: Best in Industry
* Experience: 3-5 years
* Location: Trivandrum/Pune
Job Description
Job Title: DevOps Engineer
Experience: 4–8 Years
Location: Trivandrum & Pune
Job Type: Full-Time
Mandatory skills: Azure, Terraform, GitLab CI, Splunk
Job Description
We are looking for an experienced and driven DevOps Engineer with 4 to 8 years of experience to join our team in Trivandrum or Pune. The ideal candidate will take ownership of automating cloud infrastructure, maintaining CI/CD pipelines, and implementing monitoring solutions to support scalable and reliable software delivery in a cloud-first environment.
Key Responsibilities
- Design, manage, and automate Azure cloud infrastructure using Terraform.
- Develop scalable, reusable, and version-controlled Infrastructure as Code (IaC) modules.
- Implement monitoring and logging solutions using Splunk, Azure Monitor, and Dynatrace.
- Build and maintain secure and efficient CI/CD pipelines using GitLab CI or Harness.
- Collaborate with cross-functional teams to enable smooth deployment workflows and infrastructure updates.
- Analyze system logs, performance metrics, and s to troubleshoot and optimize performance.
- Ensure infrastructure security, compliance, and scalability best practices are followed.
Mandatory Skills
Candidates must have hands-on experience with the following technologies:
- Azure – Cloud infrastructure management and deployment
- Terraform – Infrastructure as Code for scalable provisioning
- GitLab CI – Pipeline development, automation, and integration
- Splunk – Monitoring, logging, and troubleshooting production systems
Preferred Skills
- Experience with Harness (for CI/CD)
- Familiarity with Azure Monitor and Dynatrace
- Scripting proficiency in Python, Bash, or PowerShell
- Understanding of DevOps best practices, containerization, and microservices architecture
- Exposure to Agile and collaborative development environments
Skills Summary
Azure, Terraform, GitLab CI, Splunk (Mandatory) Additional: Harness, Azure Monitor, Dynatrace, Python, Bash, PowerShell
Skills: Azure, Splunk, Terraform, Gitlab Ci
******
Notice period - 0 to 15days only
Job stability is mandatory
Location: Trivandrum/Pune
ROLE & RESPONSIBILITIES:
We are hiring a Senior DevSecOps / Security Engineer with 8+ years of experience securing AWS cloud, on-prem infrastructure, DevOps platforms, MLOps environments, CI/CD pipelines, container orchestration, and data/ML platforms. This role is responsible for creating and maintaining a unified security posture across all systems used by DevOps and MLOps teams — including AWS, Kubernetes, EMR, MWAA, Spark, Docker, GitOps, observability tools, and network infrastructure.
KEY RESPONSIBILITIES:
1. Cloud Security (AWS)-
- Secure all AWS resources consumed by DevOps/MLOps/Data Science: EC2, EKS, ECS, EMR, MWAA, S3, RDS, Redshift, Lambda, CloudFront, Glue, Athena, Kinesis, Transit Gateway, VPC Peering.
- Implement IAM least privilege, SCPs, KMS, Secrets Manager, SSO & identity governance.
- Configure AWS-native security: WAF, Shield, GuardDuty, Inspector, Macie, CloudTrail, Config, Security Hub.
- Harden VPC architecture, subnets, routing, SG/NACLs, multi-account environments.
- Ensure encryption of data at rest/in transit across all cloud services.
2. DevOps Security (IaC, CI/CD, Kubernetes, Linux)-
Infrastructure as Code & Automation Security:
- Secure Terraform, CloudFormation, Ansible with policy-as-code (OPA, Checkov, tfsec).
- Enforce misconfiguration scanning and automated remediation.
CI/CD Security:
- Secure Jenkins, GitHub, GitLab pipelines with SAST, DAST, SCA, secrets scanning, image scanning.
- Implement secure build, artifact signing, and deployment workflows.
Containers & Kubernetes:
- Harden Docker images, private registries, runtime policies.
- Enforce EKS security: RBAC, IRSA, PSP/PSS, network policies, runtime monitoring.
- Apply CIS Benchmarks for Kubernetes and Linux.
Monitoring & Reliability:
- Secure observability stack: Grafana, CloudWatch, logging, alerting, anomaly detection.
- Ensure audit logging across cloud/platform layers.
3. MLOps Security (Airflow, EMR, Spark, Data Platforms, ML Pipelines)-
Pipeline & Workflow Security:
- Secure Airflow/MWAA connections, secrets, DAGs, execution environments.
- Harden EMR, Spark jobs, Glue jobs, IAM roles, S3 buckets, encryption, and access policies.
ML Platform Security:
- Secure Jupyter/JupyterHub environments, containerized ML workspaces, and experiment tracking systems.
- Control model access, artifact protection, model registry security, and ML metadata integrity.
Data Security:
- Secure ETL/ML data flows across S3, Redshift, RDS, Glue, Kinesis.
- Enforce data versioning security, lineage tracking, PII protection, and access governance.
ML Observability:
- Implement drift detection (data drift/model drift), feature monitoring, audit logging.
- Integrate ML monitoring with Grafana/Prometheus/CloudWatch.
4. Network & Endpoint Security-
- Manage firewall policies, VPN, IDS/IPS, endpoint protection, secure LAN/WAN, Zero Trust principles.
- Conduct vulnerability assessments, penetration test coordination, and network segmentation.
- Secure remote workforce connectivity and internal office networks.
5. Threat Detection, Incident Response & Compliance-
- Centralize log management (CloudWatch, OpenSearch/ELK, SIEM).
- Build security alerts, automated threat detection, and incident workflows.
- Lead incident containment, forensics, RCA, and remediation.
- Ensure compliance with ISO 27001, SOC 2, GDPR, HIPAA (as applicable).
- Maintain security policies, procedures, RRPs (Runbooks), and audits.
IDEAL CANDIDATE:
- 8+ years in DevSecOps, Cloud Security, Platform Security, or equivalent.
- Proven ability securing AWS cloud ecosystems (IAM, EKS, EMR, MWAA, VPC, WAF, GuardDuty, KMS, Inspector, Macie).
- Strong hands-on experience with Docker, Kubernetes (EKS), CI/CD tools, and Infrastructure-as-Code.
- Experience securing ML platforms, data pipelines, and MLOps systems (Airflow/MWAA, Spark/EMR).
- Strong Linux security (CIS hardening, auditing, intrusion detection).
- Proficiency in Python, Bash, and automation/scripting.
- Excellent knowledge of SIEM, observability, threat detection, monitoring systems.
- Understanding of microservices, API security, serverless security.
- Strong understanding of vulnerability management, penetration testing practices, and remediation plans.
EDUCATION:
- Master’s degree in Cybersecurity, Computer Science, Information Technology, or related field.
- Relevant certifications (AWS Security Specialty, CISSP, CEH, CKA/CKS) are a plus.
PERKS, BENEFITS AND WORK CULTURE:
- Competitive Salary Package
- Generous Leave Policy
- Flexible Working Hours
- Performance-Based Bonuses
- Health Care Benefits
Springer Capital is a cross-border asset management firm focused on real estate investment banking in China and the USA. We are offering a remote internship for individuals passionate about automation, cloud infrastructure, and CI/CD pipelines. Start and end dates are flexible, and applicants may be asked to complete a short technical quiz or assignment as part of the application process.
Responsibilities:
▪ Assist in building and maintaining CI/CD pipelines to automate development workflows
▪ Monitor and improve system performance, reliability, and scalability
▪ Manage cloud-based infrastructure (e.g., AWS, Azure, or GCP)
▪ Support containerization and orchestration using Docker and Kubernetes
▪ Implement infrastructure as code using tools like Terraform or CloudFormation
▪ Collaborate with software engineering and data teams to streamline deployments
▪ Troubleshoot system and deployment issues across development and production environments
- Public clouds, such as AWS, Azure, or Google Cloud Platform
- Automation technologies, such as Kubernetes or Jenkins
- Configuration management tools, such as Puppet or Chef
- Scripting languages, such as Python or Ruby
Job description
The ideal candidate is a self-motivated, multi-tasker, and demonstrated team player. You will be a lead developer responsible for the development of new software security policies and enhancements to security on existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.
Responsibilities
- Consulting with management on the operational requirements of software solutions.
- Contributing expertise on information system options, risk, and operational impact.
- Mentoring junior software developers in gaining experience and assuming DevOps responsibilities.
- Managing the installation and configuration of solutions.
- Collaborating with developers on software requirements, as well as interpreting test stage data.
- Developing interface simulators and designing automated module deployments.
- Completing code and script updates, as well as resolving product implementation errors.
- Overseeing routine maintenance procedures and performing diagnostic tests.
- Documenting processes and monitoring performance metrics.
- Conforming to best practices in network administration and cybersecurity.
Qualifications
- Minimum of 2 years of hands-on experience in software development and DevOps, specifically managing AWS Infrastructure such as EC2s, RDS, Elastic cache, S3, IAM, cloud trail and other services provided by AWS.
- Experience Building a multi-region highly available auto-scaling infrastructure that optimises performance and cost. plan for future infrastructure as well as Maintain & optimise existing infrastructure.
- Conceptualise, architect and build automated deployment pipelines in a CI/CD environment like Jenkins.
- Conceptualise, architect and build a containerised infrastructure using Docker, Mesosphere or similar SaaS platforms.
- Conceptualise, architect and build a secured network utilising VPCs with inputs from the security team.
- Work with developers & QA to institute a policy of Continuous Integration with Automated testing Architect, build and manage dashboards to provide visibility into delivery, production application functional and performance status.
- Work with developers to institute systems, policies and workflows which allow for rollback of deployments Triage release of applications to production environment on a daily basis.
- Interface with developers and triage SQL queries that need to be executed in production environments.
- Assist the developers and on calls for other teams with post mortem, follow up and review of issues affecting production availability.
- Minimum 2 years’ experience in Ansible.
- Must have written playbook to automate provisioning of AWS infrastructure as well as automation of routine maintenance tasks.
- Must have had prior experience automating deployments to production and lower environments.
- Experience with APM tools like New Relic and log management tools.
- Our entire platform is hosted on AWS, comprising of web applications, webservices, RDS, Redis and Elastic Search clusters and several other AWS resources like EC2, S3, Cloud front, Route53 and SNS.
- Essential Functions System Architecture Process Design and Implementation
- Minimum of 2 years scripting experience in Ruby/Python (Preferable) and Shell Web Application Deployment Systems Continuous Integration tools (Ansible)Establishing and enforcing Network Security Policy (AWS VPC, Security Group) & ACLs.
- Establishing and enforcing systems monitoring tools and standards
- Establishing and enforcing Risk Assessment policies and standards
- Establishing and enforcing Escalation policies and standards
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.

- AWS Cloud, CICD, Serverless setups, Monitoring Setup
- Performance setup, scalability in hands experience, Linux expertise, DevOps Operations
- AWS Cloud, CICD, Serverless setups, Monitoring Setup, Performance setup, scalability in hands experience, Linux expertise, DevOps Operations.
Job Dsecription: (8-12 years)
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Deep understanding of Kernel, Networking and OS fundamentals
○ Strong experience in writing helm charts.
○ Deep understanding of K8s.
○ Good knowledge in service mesh.
○ Good Database understanding
Notice Period: 30 day max

- Proficiency in Integration of various Azure resources (IaaS and PaaS - SQL DB , App Service , Application Insights , databricks , Storage accounts etc) to deliver an end to end automation.
- Thorough understanding of Continuous integration and continuous delivery using Azure DevOps/VSTS.
- Performing cost analysis of the Azure platform to identify where cost efficiencies could be had.
- Proficiency and thorough understanding of Azure RBAC model.
- Sound understanding of Azure Active directory and conditional access policies.
- Good grasp of Azure governance principles and hands-on experience in rolling out compliance and governance polices.
- Proficiency in developing infrastructure automation scripts in the form of ARM templates and Azure Power Shell scripts which can then be provided to application teams as consumables.
- Effective communication skills, both written and verbal for technical and non-technical audiences.
- Good working and hands on knowledge of Azure IaaS , Vnet , Subnets , Firewalls and NSG. Sound understanding of networking knowledge on DNA and Firewall security like Palo Alto.
- Experience working with Confluence, JIRA, Bitbucket, git, Jenkins, Sonar for collaboration and continuous integration.
- Experience with agile methods, along with having found their limitations and ways to overcome them.







