
Job Summary:
The Lead IaC Engineer will design, implement, automate, and maintain infrastructure across on-premises and cloud environments. This role should have strong hands-on expertise in Chef, Python, Terraform, and some AWS & Windows administration knowledge.
8-12 years of experience
Primary Skills – Chef, Python, and Terraform
Secondary – AWS & Windows admin (Cloud is not mandatory)

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
Connect with the team
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Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
• Bachelor’s or master’s degree in Computer Engineering,
Computer Science, Computer Applications, Mathematics, Statistics or related technical field or
equivalent practical experience. Relevant experience of at least 3 years in lieu of above if from a
different stream of education.
• Well-versed in DevOps principals & practices and hands-on DevOps
tool-chain integration experience: Release Orchestration & Automation, Source Code & Build
Management, Code Quality & Security Management, Behavior Driven Development, Test Driven
Development, Continuous Integration, Continuous Delivery, Continuous Deployment, and
Operational Monitoring & Management; extra points if you can demonstrate your knowledge with
working examples.
• Hands-on experience with demonstrable working experience with DevOps tools
and platforms viz., Slack, Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory,
Terraform, Ansible/Chef/Puppet, Spinnaker, Tekton, StackStorm, Prometheus, Grafana, ELK,
PagerDuty, VictorOps, etc.
• Well-versed in Virtualization & Containerization; must demonstrate
experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox,
Vagrant, etc.
• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate
experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in
any categories: Compute or Storage, Database, Networking & Content Delivery, Management &
Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstratable Cloud
Platform experience.
• Well-versed with demonstrable working experience with API Management,
API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption, tools &
platforms.
• Hands-on programming experience in either core Java and/or Python and/or JavaScript
and/or Scala; freshers passing out of college or lateral movers into IT must be able to code in
languages they have studied.
• Well-versed with Storage, Networks and Storage Networking basics
which will enable you to work in a Cloud environment.
• Well-versed with Network, Data, and
Application Security basics which will enable you to work in a Cloud as well as Business
Applications / API services environment.
• Extra points if you are certified in AWS and/or Azure
and/or Google Cloud.
Key Responsibilities:
- Work with the development team to plan, execute and monitor deployments
- Capacity planning for product deployments
- Adopt best practices for deployment and monitoring systems
- Ensure the SLAs for performance, up time are met
- Constantly monitor systems, suggest changes to improve performance and decrease costs.
- Ensure the highest standards of security
Key Competencies (Functional):
- Proficiency in coding in atleast one scripting language - bash, Python, etc
- Has personally managed a fleet of servers (> 15)
- Understand different environments production, deployment and staging
- Worked in micro service / Service oriented architecture systems
- Has worked with automated deployment systems – Ansible / Chef / Puppet.
- Can write MySQL queries
We are looking for an experienced Sr.Devops Consultant Engineer to join our team. The ideal candidate should have at least 5+ years of experience.
We are retained by a promising startup located in Silicon valley backed by Fortune 50 firm with veterans from firms as Zscaler, Salesforce & Oracle. Founding team has been part of three unicorns and two successful IPO’s in the past and well funded by Dell Technologies and Westwave Capital. The company has been widely recognized as an industry innovator in the Data Privacy, Security space and being built by proven Cybersecurity executives who have successfully built and scaled high growth Security companies and built Privacy programs as executives.
Responsibilities:
- Develop and maintain infrastructure as code using tools like Terraform, CloudFormation, and Ansible
- Manage and maintain Kubernetes clusters on EKS and EC2 instances
- Implement and maintain automated CI/CD pipelines for microservices
- Optimize AWS costs by identifying cost-saving opportunities and implementing cost-effective solutions
- Implement best security practices for microservices, including vulnerability assessments, SOC2 compliance, and network security
- Monitor the performance and availability of our cloud infrastructure using observability tools such as Prometheus, Grafana, and Elasticsearch
- Implement backup and disaster recovery solutions for our microservices and databases
- Stay up to date with the latest AWS services and technologies and provide recommendations for improving our cloud infrastructure
- Collaborate with cross-functional teams, including developers, and product managers, to ensure the smooth operation of our cloud infrastructure
- Experience with large scale system design and scaling services is highly desirable
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field
- At least 5 years of experience in AWS DevOps and infrastructure engineering
- Expertise in Kubernetes management, Docker, EKS, EC2, Queues, Python Threads, Celery Optimization, Load balancers, AWS cost optimizations, Elasticsearch, Container management, and observability best practices
- Experience with SOC2 compliance and vulnerability assessment best practices for microservices
- Familiarity with AWS services such as S3, RDS, Lambda, and CloudFront
- Strong scripting skills in languages like Python, Bash, and Go
- Excellent communication skills and the ability to work in a collaborative team environment
- Experience with agile development methodologies and DevOps practices
- AWS certification (e.g. AWS Certified DevOps Engineer, AWS Certified Solutions Architect) is a plus.
Notice period : Can join within a month
ApnaComplex is one of India’s largest and fastest-growing PropTech disruptors within the Society & Apartment Management business. The SaaS based B2C platform is headquartered out of India’s tech start-up hub, Bangalore, with branches in 6 other cities. It currently empowers 3,600 Societies, managing over 6 Lakh Households in over 80 Indian cities to effortlessly manage all aspects of running large complexes seamlessly.
ApnaComplex is part of ANAROCK Group. ANAROCK Group is India's leading specialized real estate services company having diversified interests across the real estate value chain.
If it excites you to - drive innovation, create industry-first solutions, build new capabilities ground-up, and work with multiple new technologies, ApnaComplex is the place for you.
Must have-
- Knowledge of Docker
- Knowledge of Terraforms
- Knowledge of AWS
Good to have -
- Kubernetes
- Scripting language: PHP/Go Lang and Python
- Webserver knowledge
- Logging and monitoring experience
- Test, build, design, deployment, and ability to maintain continuous integration and continuous delivery process using tools like Jenkins, maven Git, etc.
- Build and maintain highly available production systems.
- Must know how to choose the best tools and technologies which best fits the business needs.
- Develop software to integrate with internal back-end systems.
- Investigate and resolve technical issues.
- Problem-solving attitude.
- Ability to automate test and deploy the code and monitor.
- Work in close coordination with the development and operations team such that the application is in line with performance according to the customer's expectation.
- Lead and guide the team in identifying and implementing new technologies.
Skills that will help you build a success story with us
- An ability to quickly understand and solve new problems
- Strong interpersonal skills
- Excellent data interpretation
- Context-switching
- Intrinsically motivated
- A tactical and strategic track record for delivering research-driven results
Quick Glances:
- https://www.apnacomplex.com/why-apnacomplex">What to look for at ApnaComplex
- https://www.linkedin.com/company/1070467/admin/">Who are we A glimpse of ApnaComplex, know us better
- https://www.apnacomplex.com/media-buzz">ApnaComplex - Media – Visit our media page
ANAROCK Ethos - Values Over Value:
Our assurance of consistent ethical dealing with clients and partners reflects our motto - Values Over Value.
We value diversity within ANAROCK Group and are committed to offering equal opportunities in employment. We do not discriminate against any team member or applicant for employment based on nationality, race, color, religion, caste, gender identity / expression, sexual orientation, disability, social origin and status, indigenous status, political opinion, age, marital status or any other personal characteristics or status. ANAROCK Group values all talent and will do its utmost to hire, nurture and grow them.
- 7-10 years experience with secure SDLC/DevSecOps practices such as automating security processes within CI/CD pipeline.
- At least 4 yrs. experience designing, and securing Data Lake & Web applications deployed to AWS, Azure, Scripting/Automation skills on Python, Shell, YAML, JSON
- At least 4 years of hands-on experience with software development lifecycle, Agile project management (e.g. Jira, Confluence), source code management (e.g. Git), build automation (e.g. Jenkins), code linting and code quality (e.g. SonarQube), test automation (e.g. Selenium)
- Hand-on & Solid understanding of Amazon Web Services & Azure-based Infra & applications
- Experience writing cloud formation templates, Jenkins, Kubernetes, Docker, and microservice application architecture and deployment.
- Strong know-how on VA/PT integration in CI/CD pipeline.
- Experience in handling financial solutions & customer-facing applications
Roles
- Accelerate enterprise cloud adoption while enabling rapid and stable delivery of capabilities using continuous integration and continuous deployment principles, methodologies, and technologies
- Manage & deliver diverse cloud [AWS, Azure, GCP] DevSecOps journeys
- Identify, prototype, engineer, and deploy emerging software engineering methodologies and tools
- Maximize automation and enhance DevSecOps pipelines and other tasks
- Define and promote enterprise software engineering and DevSecOps standards, practices, and behaviors
- Operate and support a suite of enterprise DevSecOps services
- Implement security automation to decrease the loop between the development and deployment processes.
- Support project teams to adopt & integrate the DevSecOps environment
- Managing application vulnerabilities, Data security, encryption, tokenization, access management, Secure SDLC, SAST/DAST
- Coordinate with development and operations teams for practical automation solutions and custom flows.
- Own DevSecOps initiatives by providing objective, practical and relevant ideas, insights, and advice.
- Act as Release gatekeeper with an understanding of OWASP top 10 lists of vulnerabilities, NIST SP-800-xx, NVD, CVSS scoring, etc concepts
- Build workflows to ensure a successful DevSecOps journey for various enterprise applications.
- Understand the strategic direction to reach business goals across multiple projects & teams
- Collaborate with development teams to understand project deliverables and promote DevSecOps culture
- Formulate & deploy cloud automation strategies and tools
Skills
- Knowledge of the DevSecOps culture and principles.
- An understanding of cloud technologies & components
- A flair for programming languages such as Shell, Python, Java Scripts,
- Strong teamwork and communication skills.
- Knowledge of threat modeling and risk assessment techniques.
- Up-to-date knowledge of cybersecurity threats, current best practices, and the latest software.
- An understanding of programs such as Puppet, Chef, ThreatModeler, Checkmarx, Immunio, and Aqua.
- Strong know-how of Kubernetes, Docker, AWS, Azure-based deployments
- On the job learning for new programming languages, automation tools, deployment architectures
Job Description
- Experienced in Cloud (AWS, Digital Ocean, Google& Azure) development and System Operations.
- Cloud Storage Services and prior experience in designing and building infrastructure components in Amazon. DigitalOcean (or other cloud providers).
- Strong Linux experience (Red Hat 6.x/CentOS 5.x & 6.x, Debian).
- Expert Knowledge in - Git, Jenkins
- Should have experience in CI/CD Automation using tools like Jenkins, Ansible, puppet/Mcollective, Chef Docker, Kubernetes, GIT, Ansible, Terraform, Packer, Hashicorp Vault Docker, Kubernetes, Python Scripting etc.
- Good working knowledge with scripting languages such as Python, php
- Good communications and Presentation Skills
Preferred Education:
Bachelor's Degree or global equivalent in Computer Science or related field
Requirements:-
- Must have good understanding of Python and Shell scripting with industry standard coding conventions
- Must possess good coding debugging skills
- Experience in Design & Development of test framework
- Experience in Automation testing
- Good to have experience in Jenkins framework tool
- Good to have exposure to Continuous Integration process
- Experience in Linux and Windows OS
- Desirable to have Build & Release Process knowledge
- Experience in Automating Manual test cases
- Experienced in automating OS / FW related tasks
- Understanding of BIOS / FW QA is a strong plus
- OpenCV experience is a plus
- Good to have platform exposure
- Must have good Communication skills
- Good Leadership capabilities & collaboration capabilities, as individual will have to work with multiple teams and single handedly maintain the automation framework and enable the Manual validation team
2. Extensive expertise in the below in AWS Development.
3. Amazon Dynamo Db, Amazon RDS , Amazon APIs. AWS Elastic Beanstalk, and AWS Cloud Formation.
4. Lambda, Kinesis. CodeCommit ,CodePipeline.
5. Leveraging AWS SDKs to interact with AWS services from the application.
6. Writing code that optimizes performance of AWS services used by the application.
7. Developing with Restful API interfaces.
8. Code-level application security (IAM roles, credentials, encryption, etc.).
9. Programming Language Python or .NET. Programming with AWS APIs.
10. General troubleshooting and debugging.








