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A Bit About Us:

Appknox is one of the top Mobile Application security companies recognized by Gartner and G2. A profitable B2B SaaS startup headquartered in Singapore & working from Bengaluru.

The primary goal of Appknox is to help businesses and mobile developers secure their mobile applications with a focus on delivery speed and high-quality security audits.

Our business includes Fortune 500 companies with Major brands spread across regions like India, South-East Asia, Middle-East, Japan, US, and expanding rapidly. 

What you’ll do:

We are looking for a talented and self-driven Platform Engineer who will be responsible for managing and optimizing our on-premise infrastructure and automating deployment processes using Go. You will work closely with cross functional teams to ensure the smooth operation of our on-prem setup, device configuration and deployment pipelines.

The ideal candidate will have strong experience with infrastructure management, automation, and a deep understanding of both on-premise and cloud-based environments. While this role does not align directly with traditional DevOps, it combines aspects of DevOps with platform engineering, focusing on deployment, automation, and system configuration.

Job Responsibilities:

• On-Premise Infrastructure Management: Oversee and manage on-premise infrastructure, including servers, networking, and storage. Act as the primary point of contact from engineering team for addressing client requirements related to on-premise setups.
• Work extensively on improving and optimizing deployment scripts for on-premise setups using Go, enhancing automation and reducing manual intervention
• Contribute to the development of technical solutions to enhance operational efficiency.
• Implement and manage security best practices across on-prem and cloud environments.
• Issue Resolution: Respond promptly to production incidents, troubleshoot, and implement solutions to minimise downtime and enhance security posture.
• Collaboration: Work closely with development, operations, and security teams to ensure seamless integration of deployment processes and infrastructure.
• Monitoring & Optimization: Monitor system performance, troubleshoot issues, and optimize infrastructure and deployment automation for better efficiency and reliability.
• Documentation: Maintain thorough documentation for infrastructure setups, configurations, and deployment procedures.
• Contribute to the development of technical solutions to enhance operational efficiency.

Requirements:

• You have 2+ years of experience as DevOps / Platform Engineer
• Hands-on experience with Go 
• Solid understanding of DevOps principles, including CI/CD pipelines and infrastructure as code (IaC) tools (e.g., Ansible, Terraform).
• Proficiency in containerization and orchestration tools like Docker and Kubernetes.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Mezmo)
• Expertise in deployment automation, preferably using Go or similar languages is a bonus. 
• Proficiency in Python for backend development and scripting is a plus point..
• Proven ability to collaborate across cross-functional teams, including product and software developers.
• Ability to write efficient, maintainable code and develop tools to optimize deployment processes.
• Strong problem-solving and analytical skills, with a focus on operational efficiency and scalability.

Work Expectations:

Within 1 month

• Participate in Knowledge Transfer (KT) Sessions
• Attend all KT sessions conducted by the DevOps team to gain a deep understanding of the existing server architecture, deployment processes, and any ongoing initiatives related to on-prem deployments.
• Engage with On-Prem Deployment Processes
• Actively participate in on-prem deployment calls and meetings to understand the full deployment cycle, from planning to execution. Observe and learn how automation is being applied to existing processes and what improvements can be made.
• Collaborate with the Engineering and DevOps Teams
• Meet with members of the Engineering and DevOps teams to establish working relationships and gain insights into team dynamics, communication, and ongoing projects.
• Familiarize Yourself with Support Teams
• Collaborate with the technical support and customer support teams to understand their workflows and challenges related to infrastructure management and on-prem deployments.
• Start Documenting Server Architecture
• Begin documenting the server architecture, on-prem deployment procedures, and any relevant configurations as part of the KT process, ensuring accuracy and completeness in the records for future reference.
• Shadow the Deployment Process
• Shadow the on-prem and DevOps teams during live deployment processes to gain hands-on experience, observe best practices, and provide support where necessary.

Weekly Check-ins with Engineering Manager

• Schedule regular check-ins with the Engineering Manager to discuss progress, address challenges, and align on objectives for the coming months.

Within 2 months

• As a devops engineer, work closely with the engineering team to ensure alignment between cloud-based and on-prem deployments.
• Work closely with the DevOps team to align on tools, automation scripts, and pipelines for both cloud and on-prem environments.
• Participate in KT sessions to understand the existing backend codebase, architecture, and best practices.
• Collaborate with the engineering team to address any technical dependencies or challenges arising during deployments.
• Start taking the  responsibility for the on-prem deployment process, including gathering requirements, planning, execution, and post deployment validation.
• Manage and improve deployment automation scripts and tools to streamline on-prem updates and configurations.
• Set up and manage remote device configurations to support on-prem deployments effectively.
• Ensure all remote devices are properly configured, secure, and integrated with the on-prem infrastructure with the help of RnD team

Within 3 months

• Take full ownership of all on-prem deployments, acting as the primary point of contact for the engineering team regarding on-prem requirements, configurations, and processes
• Address and resolve queries related to on-prem deployments from the engineering and support teams, ensuring timely and effective communication
• Collaborate with the engineering team to contribute to backend development tasks, including creating or enhancing features, fixing bugs, and optimizing code.
• Participate in DevOps projects, such as setting up monitoring, improving CI/CD pipelines, and optimizing server performance for on-prem and hybrid environments.
• Foster communication between engineering, DevOps, and support teams to ensure alignment on deployment timelines and dependencies.

Personality traits we really admire:

• Great attitude to ask questions, learn and suggest process improvements.
• Has attention to details and helps identify edge cases.
• Highly motivated and coming up with ideas and perspective to help us move towards our goals faster.
• Follows timelines and absolute commitment to deadlines.

Interview Process: 

• Round 1 Interview - Profile Evaluation
• Round 2 Interview - Technical Evaluation with engineering team
• Round 3 Interview - Evaluation with EM/CTO
• Round 4 Interview - HR

Compensation:

• As per industry standards

Why Join Us:

• Freedom & Responsibility: If you are a person who enjoys challenging work & pushing your boundaries, then this is the right place for you. We appreciate new ideas & ownership as well as flexibility with working hours.
• Great Salary & Equity: We keep up with the market standards & provide pay packages considering updated standards. Also as Appknox continues to grow, you’ll have a great opportunity to earn more & grow with us. Moreover, we also provide equity options for our top performers.
• Holistic Growth: We foster a culture of continuous learning and take a much more holistic approach to training and developing our assets: the employees. We shall also support you all on that journey of yours.
• Transparency: Being a part of a start-up is an amazing experience, one of the reasons being the open communication & transparency at multiple levels. Working with Appknox will give you the opportunity to experience it all first hand.
• Health insurance: We offer health insurance coverage for you and your family including parents.

Job Description-

We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.

Job Title: Solution Architect ML, Cloud

Experience:5-10 years

Client Location: Bangalore

Work Location: Tokyo, Japan (Onsite)

We are seeking a highly skilled Solution Architect to join our dynamic team in Tokyo. The ideal candidate will have substantial experience in designing, implementing, and deploying cutting-edge solutions involving Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes. The Solution Architect will play a key role in architecting and delivering innovative solutions that meet business objectives while leveraging advanced technologies and industry best practices.

Job Title: Solution Architect (ML, Cloud)

Location: Tokyo, Japan (Onsite)

Experience: 5-10 years

Overview: We are looking for a skilled Solution Architect with expertise in Machine Learning (ML), Cloud Computing, Full Stack Development, and Kubernetes to join our team in Tokyo. The ideal candidate will be responsible for designing and implementing cutting-edge, scalable solutions while leveraging the latest technologies and best practices to meet business objectives.

Key Responsibilities:

Collaborate with stakeholders to understand business needs and develop scalable, efficient technical solutions.

Architect and implement complex systems integrating Machine Learning, Cloud platforms (AWS, Azure, Google Cloud), and Full Stack Development.

Lead the development and deployment of cloud-native applications using NoSQL databases, Python, and Kubernetes.

Design and optimize algorithms to improve performance, scalability, and reliability of solutions.

Review, validate, and refine architecture to ensure flexibility, scalability, and cost-efficiency.

Mentor development teams and ensure adherence to best practices for coding, testing, and deployment.

Contribute to the development of technical documentation and solution roadmaps.

Stay up-to-date with emerging technologies and continuously improve solution design processes.

Required Skills & Qualifications:

5-10 years of experience as a Solution Architect or similar role with expertise in ML, Cloud, and Full Stack Development.

Proficiency in at least two major cloud platforms (AWS, Azure, Google Cloud).

Solid experience with Kubernetes for container orchestration and deployment.

Hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).

Expertise in Python and ML frameworks like TensorFlow, PyTorch, etc.

Practical experience implementing at least two real-world algorithms (e.g., classification, clustering, recommendation systems).

Strong knowledge of scalable architecture design and cloud-native application development.

Familiarity with CI/CD tools and DevOps practices.

Excellent problem-solving abilities and the ability to thrive in a fast-paced environment.

Strong communication and collaboration skills with cross-functional teams.

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Preferred Qualifications:

Experience with microservices and containerization.

Knowledge of distributed systems and high-performance computing.

Cloud certifications (AWS Certified Solutions Architect, Google Cloud Professional Architect, etc.).

Familiarity with Agile methodologies and Scrum.

Japanese language proficiency is an added advantage (but not mandatory).

Skills : ML, Cloud (any two major clouds), algorithms (two algorithms must be implemented), full stack, kubernatics, no sql, Python

 Responsibilities:

• Collaborate with stakeholders to understand business needs and translate them into scalable and efficient technical solutions.
• Design and implement complex systems involving Machine Learning, Cloud Computing (at least two major clouds such as AWS, Azure, or Google Cloud), and Full Stack Development.
• Lead the design, development, and deployment of cloud-native applications with a focus on NoSQL databases, Python, and Kubernetes.
• Implement algorithms and provide scalable solutions, with a focus on performance optimization and system reliability.
• Review, validate, and improve architectures to ensure high scalability, flexibility, and cost-efficiency in cloud environments.
• Guide and mentor development teams, ensuring best practices are followed in coding, testing, and deployment.
• Contribute to the development of technical documentation and roadmaps.
• Stay up-to-date with emerging technologies and propose enhancements to the solution design process.

Key Skills & Requirements:

• Proven experience 5-10 years) as a Solution Architect or similar role, with deep expertise in Machine Learning, Cloud Architecture, and Full Stack Development.
• Expertise in at least two major cloud platforms (AWS, Azure, Google Cloud).
• Solid experience with Kubernetes for container orchestration and deployment.
• Strong hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, etc.).
• Proficiency in Python, including experience with ML frameworks (such as TensorFlow, PyTorch, etc.) and libraries for algorithm development.
• Must have implemented at least two algorithms (e.g., classification, clustering, recommendation systems, etc.) in real-world applications.
• Strong experience in designing scalable architectures and applications from the ground up.
• Experience with DevOps and automation tools for CI/CD pipelines.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication skills and ability to collaborate with cross-functional teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Preferred Skills:

• Experience with microservices architecture and containerization.
• Knowledge of distributed systems and high-performance computing.
• Certifications in cloud platforms (AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, etc.).
• Familiarity with Agile methodologies and Scrum.
• Knowing Japanese Language is an additional advantage for the Candidate. Not mandatory.

Job Brief

The role is to coordinate strategies for defining, deploying, and designing a next-generation, cloud-based unified communications platform. This includes managing all engineering projects for VoIP initiatives, planning technology roadmaps, and configuring and optimizing all products and services, both internally and those integrated with Internet-based services.

As part of the Cloud Platform / Devops team at Upswing, you will get to work on building state-of-the-art infrastructure for the future. You will also be –

• Building Infrastructure on AWS driven through terraform and building automation tools for deployment, infrastructure management, and observability stack 
• Building and Scaling on Kubernetes
• Ensuring the Security of Upswing Cloud Infra
• Building Security Checks and automation to improve overall security posture 
• Building automation stack for components like JVM-based applications, Apache Pulsar, MongoDB, PostgreSQL, Reporting Infra, etc.
• Mentoring people across the teams to enable best practices 
• Mentoring and guiding team members to upskill and helm them develop work class Fintech Infrastructure

What will you do if you join us?

• Write a lot of code
• Engage in a lot of cross-team collaboration to independently drive forward infrastructure initiatives and Devops practices across the org 
• Taking Ownership of existing, ongoing, and future initiatives 
• Plan Architecture- for upcoming infrastructure
• Build for Scale, Resiliency & Security 
• Introduce best practices wrt Devops & Cloud in the team
• Mentor new/junior team members and eventually build your own team

You should have

• Curiosity for on-the-job learning and experimenting with new technologies and ideas
• A strong background in Linux environment
• Must have Programming skills and Experience
• Strong experience in Cloud technologies, Security and Networking concepts, Multi-cloud environments, etc.
• Experience with at least one scripting language (GoLang/Python/Ruby/Groovy)
• Experience in Terraform is highly desirable but not mandatory
• Experience with Kubernetes and Docker is required 
• Understanding of the Java Technologies and Stack
• Any other Devops related experience will be considered

We are looking for a DevOps Engineer for managing the interchange of data between the server and the users. Your primary responsibility will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to request from the frontend. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of frontend technologies is necessary as well.

What we are looking for

• Must have strong knowledge of Kubernetes and Helm3
• Should have previous experience in Dockerizing the applications.
• Should be able to automate manual tasks using Shell or Python
• Should have good working knowledge on AWS and GCP clouds
• Should have previous experience working on Bitbucket, Github, or any other VCS.
• Must be able to write Jenkins Pipelines and have working knowledge on GitOps and ArgoCD.
• Have hands-on experience in Proactive monitoring using tools like NewRelic, Prometheus, Grafana, Fluentbit, etc.
• Should have a good understanding of ELK Stack.
• Exposure on Jira, confluence, and Sprints.

What you will do:

• Mentor junior Devops engineers and improve the team’s bar
• Primary owner of tech best practices, tech processes, DevOps initiatives, and timelines
• Oversight of all server environments, from Dev through Production.
• Responsible for the automation and configuration management
• Provides stable environments for quality delivery
• Assist with day-to-day issue management.
• Take lead in containerising microservices
• Develop deployment strategies that allow DevOps engineers to successfully deploy code in any environment.
• Enables the automation of CI/CD
• Implement dashboard to monitors various
• 1-3 years of experience in DevOps
• Experience in setting up front end best practices
• Working in high growth startups
• Ownership and Be Proactive.
• Mentorship & upskilling mindset.
• systems and applications
• 
  what you’ll get
  • Health Benefits
  • Innovation-driven culture
  • Smart and fun team to work with
  • Friends for life

Roles and Responsibilities

• 5 - 8 years of experience in Infrastructure setup on Cloud, Build/Release Engineering, Continuous Integration and Delivery, Configuration/Change Management.
• Good experience with Linux/Unix administration and moderate to significant experience administering relational databases such as PostgreSQL, etc.
• Experience with Docker and related tools (Cassandra, Rancher, Kubernetes etc.)
• Experience of working in Config management tools (Ansible, Chef, Puppet, Terraform etc.) is a plus.
• Experience with cloud technologies like Azure
• Experience with monitoring and alerting (TICK, ELK, Nagios, PagerDuty)
• Experience with distributed systems and related technologies (NSQ, RabbitMQ, SQS, etc.) is a plus
• Experience with scaling data store technologies is a plus (PostgreSQL, Scylla, Redis) is a plus
• Experience with SSH Certificate Authorities and Identity Management (Netflix BLESS) is a plus
• Experience with multi-domain SSL certs and provisioning a plus (Let's Encrypt) is a plus
• Experience with chaos or similar methodologies is a plus