SAP Controlling Analyst

ROLES AND RESPONSIBILITIES:

• Plan, schedule, and manage all releases across product and customer projects.
• Define and maintain the release calendar, identifying dependencies and managing risks proactively.
• Partner with engineering, QA, DevOps, and product management to ensure release readiness.
• Create release documentation (notes, guides, videos) for both internal stakeholders and customers.
• Run a release review process with product leads before publishing.
• Publish releases and updates to the company website release section.
• Drive communication of release details to internal teams and customers in a clear, concise way.
• Manage post-release validation and rollback procedures when required.
• Continuously improve release management through automation, tooling, and process refinement.

IDEAL CANDIDATE:

• 3+ years of experience in Release Management, DevOps, or related roles.
• Strong knowledge of CI/CD pipelines, source control (Git), and build/deployment practices.
• Experience creating release documentation and customer-facing content (videos, notes, FAQs).
• Excellent communication and stakeholder management skills; able to translate technical changes into business impact.
• Familiarity with SaaS, iPaaS, or enterprise software environments is a strong plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive salary package.
• Opportunity to learn from and work with senior leadership & founders.
• Build solutions for large enterprises that move from concept to real-world impact.
• Exceptional career growth pathways in a highly innovative and rapidly scaling environment.

Job Title : ERP/OMS Integrations Engineer

Experience : 5+ Years

Location : Remote | Full-time

Role Overview :

We’re looking for a technical, client-facing ERP/OMS Integrations Engineer to lead end-to-end implementation of order management systems for e-commerce clients. You’ll handle requirements gathering, system configuration, data flow mapping, integration, testing, and client training.

Mandatory Skills :

OMS/ERP integration (e.g., NetSuite, Skubana), e-commerce platforms (Shopify, Amazon), REST APIs & JSON, data flow mapping, troubleshooting, project management, and client-facing software implementation experience (5+ years).

Key Responsibilities :

• Lead OMS/ERP implementation projects.
• Integrate systems across e-commerce, warehouse, and accounting platforms.
• Troubleshoot data/integration issues.
• Collaborate with internal and external technical teams.
• Train clients and ensure successful onboarding.

Must-Have Skills :

• 5+ years in software implementation (client-facing preferred).
• Experience with OMS/ERP tools (e.g. NetSuite, Skubana, Brightpearl).
• Hands-on with e-commerce platforms (e.g. Shopify, Amazon Seller Central).
• Strong knowledge of REST APIs, JSON.
• Excellent communication & project management skills.

Nice to Have :

• Scripting (Python/JavaScript/SQL)
• Experience with middleware (Celigo, Boomi, Mulesoft)
• Background in supply chain or logistics.

Key Responsibilities

DevOps Strategy & Leadership

• Define and execute the end-to-end DevOps strategy for high-frequency trading and fintech platforms.
• Lead, mentor, and scale a high-performing DevOps team focused on automation, reliability, and performance.
• Partner closely with engineering and product leaders to ensure infrastructure strategy supports business and technical goals.

CI/CD & Infrastructure Automation

• Architect, implement, and optimize enterprise-grade CI/CD pipelines for ultra-low-latency trading systems.
• Drive Infrastructure as Code (IaC) adoption using Terraform, Helm, Kubernetes, and advanced automation toolsets.
• Establish robust release management, deployment workflows, and versioning best practices for mission‑critical environments.

Cloud & On‑Prem Infrastructure Management

• Design and manage hybrid infrastructures across AWS, GCP, and on-premise data centers ensuring high availability and fault tolerance.
• Implement sophisticated networking strategies for low-latency workloads including routing optimization and performance tuning.
• Lead multi‑cloud scalability, cost optimization, and environment standardization initiatives.

Performance Monitoring & Optimization

• Oversee large-scale monitoring systems using Prometheus, Grafana, ELK, and related observability tools.
• Implement predictive alerting, automated remediation, and system‑wide health checks for zero‑downtime operations.
• Conduct root-cause analyses and performance tuning for systems processing millions of transactions per second.

Security & Compliance

• Champion DevSecOps practices and embed security across the entire development and deployment lifecycle.
• Ensure adherence to financial regulatory standards (SEBI and global frameworks) with strong audit and compliance mechanisms.
• Lead security automation efforts, vulnerability management, and advanced IAM policy implementation.

Required Skills & Qualifications

• 10+ years of DevOps experience, with 5+ years in a leadership capacity.
• Deep hands-on expertise in CI/CD tools such as Jenkins, GitLab CI/CD, and ArgoCD.
• Strong command of AWS, GCP, and hybrid cloud infrastructures.
• Expert-level knowledge of Kubernetes, Docker, and large-scale container orchestration.
• Advanced proficiency in Terraform, Helm, and overall IaC workflows.
• Strong Linux administration, networking fundamentals (TCP/IP, DNS, Firewalls), and system internals.
• Experience with monitoring and observability platforms (Prometheus, Grafana, ELK).
• Excellent scripting skills in Python, Bash, or Go for automation and tooling.
• Deep understanding of security principles, encryption, IAM, and compliance frameworks.

Good to Have

• Experience with ultra-low-latency or high-frequency trading systems.
• Knowledge of FIX protocol, FPGA acceleration, or network‑level optimizations.
• Familiarity with Redis, Nginx, or other high‑throughput systems.
• Exposure to micro‑second‑level performance tuning or network acceleration technologies.

Why Join Us?

• Be part of a team that consistently raises the bar and delivers exceptional engineering outcomes.
• A culture where innovation, ownership, and bold thinking are valued.
• Exceptional growth opportunities—ideal for someone who thrives in fast-paced, high-impact environments.
• Build systems that influence markets and redefine the fintech landscape.

This isn’t just a role—it’s a challenge, a platform, and a proving ground.

Ready to step up? Apply now.

Job Title: Senior AIML Engineer – Immediate Joiner (AdTech)

Location: Pune – Onsite

About Us:

We are a cutting-edge technology company at the forefront of digital transformation, building innovative AI and machine learning solutions for the digital advertising industry. Join us in shaping the future of AdTech!

Role Overview:

We are looking for a highly skilled Senior AIML Engineer with AdTech experience to develop intelligent algorithms and predictive models that optimize digital advertising performance. Immediate joiners preferred.

Key Responsibilities:

• Design and implement AIML models for real-time ad optimization, audience targeting, and campaign performance analysis.
• Collaborate with data scientists and engineers to build scalable AI-driven solutions.
• Analyze large volumes of data to extract meaningful insights and improve ad performance.
• Develop and deploy machine learning pipelines for automated decision-making.
• Stay updated on the latest AI/ML trends and technologies to drive continuous innovation.
• Optimize existing models for speed, scalability, and accuracy.
• Work closely with product managers to align AI solutions with business goals.

Requirements:

• Minimum 4-6 years of experience in AIML, with a focus on AdTech (Mandatory).
• Strong programming skills in Python, R, or similar languages.
• Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Expertise in data processing and real-time analytics.
• Strong understanding of digital advertising, programmatic platforms, and ad server technology.
• Excellent problem-solving and analytical skills.
• Immediate joiners preferred.

Preferred Skills:

• Knowledge of big data technologies like Spark, Hadoop, or Kafka.
• Experience with cloud platforms like AWS, GCP, or Azure.
• Familiarity with MLOps practices and tools.

How to Apply:

If you are a passionate AIML engineer with AdTech experience and can join immediately, we want to hear from you. Share your resume and a brief note on your relevant experience.

Join us in building the future of AI-driven digital advertising!

Job Overview:

You will work in engineering and development teams to integrate and develop cloud solutions and virtualized deployment of software as a service product. This will require understanding the software system architecture function as well as performance and security requirements. The DevOps Engineer is also expected to have expertise in available cloud solutions and services, administration of virtual machine clusters, performance tuning and configuration of cloud computing resources, the configuration of security, scripting and automation of monitoring functions. This position requires the deployment and management of multiple virtual clusters and working with compliance organizations to support security audits. The design and selection of cloud computing solutions that are reliable, robust, extensible, and easy to migrate are also important.

Experience:

• Experience working on billing and budgets for a GCP project - MUST
• Experience working on optimizations on GCP based on vendor recommendations - NICE TO HAVE
• Experience in implementing the recommendations on GCP
• Architect Certifications on GCP - MUST
• Excellent communication skills (both verbal & written) - MUST
• Excellent documentation skills on processes and steps and instructions- MUST
• At least 2 years of experience on GCP.

Basic Qualifications:

• Bachelor’s/Master’s Degree in Engineering OR Equivalent.
• Extensive scripting or programming experience (Shell Script, Python).
• Extensive experience working with CI/CD (e.g. Jenkins).
• Extensive experience working with GCP, Azure, or Cloud Foundry.
• Experience working with databases (PostgreSQL, elastic search).
• Must have 2 years of minimum experience with GCP certification.

Benefits :

• Competitive salary.
• Work from anywhere.
• Learning and gaining experience rapidly.
• Reimbursement for basic working set up at home.
• Insurance (including top-up insurance for COVID).

Location :

Remote - work from anywhere.

Ideal joining preferences:
Immediate or 15 days

We are now seeking a talented and motivated individual to contribute to our product in the Cloud data

protection space. Ability to clearly comprehend customer needs in a cloud environment, excellent

troubleshooting skills, and the ability to focus on problem resolution until completion are a requirement.

Responsibilities Include:

Review proposed feature requirements

Create test plan and test cases

Analyze performance, diagnosis, and troubleshooting

Enter and track defects

Interact with customers, partners, and development teams

Researching customer issues and product initiatives

Provide input for service documentation

Required Skills:

Bachelor's degree in Computer Science, Information Systems or related discipline

3+ years' experience inclusive of Software as a Service and/or DevOps engineering experience

Experience with AWS services like VPC, EC2, RDS, SES, ECS, Lambda, S3, ELB

Experience with technologies such as REST, Angular, Messaging, Databases, etc.

Strong troubleshooting skills and issue isolation skills

Possess excellent communication skills (written and verbal English)

Must be able to work as an individual contributor within a team

Ability to think outside the box

Experience in configuring infrastructure

Knowledge of CI / CD

Desirable skills:

Programming skills in scripting languages (e.g., python, bash)

Knowledge of Linux administration

Knowledge of testing tools/frameworks: TestNG, Selenium, etc

Knowledge of Identity and Security

1. Develop and Deploy Software:
1. Architect and create an effective build and release process using industry best practices and tools
2. Create and manage build scripts to deploy software in a multi-cloud environment
3. Look for opportunities to automate as much of the deployment process as possible to provide for repeatability, auditability, scalability and build in process enforcement
2. Manage Release Schedule:
1. Act as a “gate keeper” for all releases into production
2. Work closely with business stakeholders, development managers and developers to prepare a release schedule
3. Help prioritize deployment requests for version upgrades, patches and hot-fixes
3. Continuous Delivery of Software:
1. Implement Continuous Integration (CI) practices to drive development teams to implement smaller changes and commit code to the version control repo frequently
2. Implement Continuous Development (CD) practices that automates deployment of the application to several environments – Dev, Test and Production
3. Implement Continuous Testing (functional and non-functional) to execute tests in the CI/CD pipeline
4. Manage Version Control:
1. Define and implement branching policies to efficiently manage source-code
2. Implement business rules as a part of source control standards
5. Resolve Software Issues:
1. Assist technical support and development teams to troubleshoot issues and identify areas that need improvement
2. Address deployment related issues
6. Maintain Release Documentation:
1. Maintain release notes (features available in stable versions and known issues) and other documents for both internal and external end users

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

You can be a great fit if you are :

1. Extremely self motivated
2. Ability to learn quickly
3. 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)
4. 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)
5. Passionate about the possibilities at the intersection of AI + Banking
6. Worked in a startup of 5 to 30 employees
7. Developer with a strong interest in systems Design. You will be building, maintaining, and scaling our cloud infrastructure through software tooling and automation. 
8. 4-8 years of industry experience developing and troubleshooting large-scale infrastructure on the cloud
9. Have a solid understanding of system availability, latency, and performance
10. Strong programming skills in at least one major programming language and the ability to learn new languages as needed  
11. Strong System/network debugging skills
12. Experience with management/automation tools such as Terraform/Puppet/Chef/SALT
13. Experience with setting up production-level monitoring and telemetry
14. Expertise in Container management & AWS
15. Experience with kubernetes is a plus
16. Experience building CI/CD pipelines
17. Experience working with Web sockets, Redis, Postgres, Elastic search, Logstash
18. Experience working in an agile team environment and proficient understanding of code versioning tools, such as Git.
19. Ability to effectively articulate technical challenges and solutions.
20. Proactive outlook for ways to make our systems more reliable