17 Engineering jobs in Kota

Engineering Manager – Payments

About the Role

We are looking for an experienced Engineering Manager to lead and grow our payments-focused engineering teams. This role is pivotal in scaling our global payments ecosystem and ensuring the reliability, security, and efficiency of our financial systems.

You will oversee several cross-functional teams, focusing on everything from payment provider integrations and subscriptions to invoices, taxes, and eCommerce store payments. You will also help expand our international payment capabilities and ensure compliance with regional regulations.

Tech Stack : Node.js, NestJS, Vue.js, MongoDB, Elasticsearch

Teams You’ll Lead

• Core Payments
• Subscriptions, payment integrations, order processing, tax calculations, and coupon management.
• Payment Products
• Invoices, payment links, estimates, and transaction reconciliation systems.
• Ecom Store
• Store infrastructure, checkout flows, and third-party store integrations.
• Documents & Contracts
• Contract generation, digital agreements, and secure document management.

Key Responsibilities

1. Technical Leadership & System Design

• Architect and scale global payment systems to handle high-volume transactions.
• Integrate with international payment providers and optimize payment flows.
• Improve systems for subscriptions, tax calculation, invoices, and coupon handling.
• Lead development of dynamic payment links and estimate generation tools.
• Drive real-time financial analytics and reporting.
• Enhance document and contract workflows to meet legal and financial compliance standards.

2. Global Payment Expansion

• Enable multi-currency support and cross-border transactions.
• Ensure compliance with local financial regulations and tax laws.
• Implement region-specific fraud detection and prevention mechanisms.

3. Team Leadership & Execution

• Lead and mentor engineering teams across multiple payment domains.
• Establish and uphold engineering best practices and high-quality coding standards.
• Partner with Product, Finance, Risk, and Compliance to align engineering with business goals.
• Foster a culture of ownership, innovation, and technical excellence.
• Conduct performance evaluations and support career development.

4. Stakeholder Collaboration

• Align technical solutions with business strategy and customer experience.
• Coordinate with external payment providers to enhance transaction reliability and security.

Required Skills & Experience

• Proven experience in system design and scalable microservices architecture.
• Deep understanding of the global payments landscape, subscriptions, tax handling, and eCommerce systems.
• Hands-on experience with:
• Payment gateways , tokenization, and fraud prevention
• Node.js and NestJS for backend development
• Vue.js for frontend applications
• MongoDB and Elasticsearch for data management and search
• Experience in event-driven architectures and real-time transaction processing.
• Strong grasp of security best practices in payment and financial systems.

Responsibilities

Developing and implementing processes, managing project resources, and ensuring projects align with organizational goals. They also play a key role in strategic planning, business development, and enhancing organizational performance.

• Establishing, refining, and implementing PMO processes and procedures related to project management methodologies, governance, risk management, and change control.
• Lead the strategic direction and operations of the PMO, ensuring alignment with overall business objectives.
• Act as a point of contact for project related queries, ensuring timely responses
• Collaborate with key stakeholders to identify, measure, and report on value realization for clients. Ensuring projects are delivered on time and meet quality standards, often involving resource management, financial tracking, and reporting.
• Lead initiatives to improve value creation processes, ensuring measurable impact and client satisfaction.
• Ensuring projects align with the organization's strategic goals and objectives, facilitating communication and collaboration across teams and departments.
• Contributing to business development efforts by identifying new opportunities, participating in client calls, and designing solutions based on client needs.
• Prepare and distribute standardized project status reports, dashboards and metrics. Analyze project data to identify trends and recommend improvements.
• Driving continuous improvement initiatives within the PMO and across the organization to enhance operational efficiency and effectiveness.

Desired Candidate Profile

• Demonstrated experience in managing projects, including planning, execution, monitoring, and closing.
• Ability to develop and implement strategies aligned with organizational goals and objectives. Strong communication, presentation, and interpersonal skills, with the ability to interact effectively with stakeholders at all levels.
• Experience using project management tools to enhance client and project outcomes.
• Ability to analyze data, identify trends, and develop solutions to complex problems.
• Expertise in dashboard creation

Job Title: Engineering Manager ( Contributor Success Manager - CSM)

Company : Scale AI / Outlier AI

Location : Remote (Work from anywhere)

About Us

Outlier AI partners with the world’s most innovative companies to enhance their AI models through human feedback. We are seeking Subject Matter Experts across various domains to contribute their expertise in training generative AI models.

Job Summary:

The Contributor Manager role is a pivotal position focused on identifying roadblocks, proposing solutions for moving projects forward, and managing a squad of contributors for Managed Workforce Program to ensure the efficient execution of data annotation and quality assurance tasks to support assigned projects. This role entails engaging with team members, auditing tasks, providing feedback, conducting training sessions, and driving project performance. The Contributor Manager will have the authority to manage permissions, address concerns, engage in coaching conversations and recommendations regarding contributor performance management, and ensure the overall quality and productivity of the team.

Structure Overview

Contributors form squads; each squad holds from 30 to 50 contributors working on the same project and reporting to the same Contributor Manager.

Each Contributor Manager is managing one or more projects, for which the Contributor Manager must manage the allocated contributors, manage third party and internal tools, and take action to achieve project milestones.

Contributor Managers report to Senior Contributor Managers, who ensure that Contributor Managers understand and know the latest project goals and any project-specific instructions so they can provide feedback and the appropriate training to contributors.

Senior Contributor Managers require support and quality training from Contributor Manager. This will guarantee the correct retraining for each contributor and maximize project quality.

Key Responsibilities:

1. Project Knowledge and Communication:

• Coordinate and supervise project activities, ensuring that tasks are completed according to the project plan and within the specified timeline
• Provide regular project updates, address concerns, and manage expectations to ensure stakeholder satisfaction
• Create and develop accurate and up-to-date project documentation, including project plans, progress reports, change requests, and any other relevant project records

2. Quality Assurance and Task Management:

• Audit tasks completed by squad members, providing constructive feedback during daily training sessions and live working sessions.
• Achieve quality attainment for assigned projects by managing project output and providing feedback to contributors.
• Gather feedback from squad members to assess tasker sentiment and communicate with project delivery teams.
• Collaborate closely with project delivery teams to ensure high-quality work is being done

3. Training and Development:

• Conduct 1:1 enablement sessions every two weeks with squad members to review recent submissions and provide feedback.
• Coordinate with STOs to conduct training webinars and ensure alignment with project goals.
• Provide group feedback during daily team syncs on best practices and quality improvement strategies.
• Identify contributors for potential advancement opportunities and project leadership

4. Engagement and Support:

• Actively engage with the team through daily Zoom meetings, Slack, and email to provide ongoing support and guidance.
• Host daily working sessions for contributors to ask questions and foster collaboration.
• Clarify any doubts or issues raised by team members and relay project updates from STOs.

Characteristics:

• Demonstrates a strong sense of responsibility by effectively prioritizing and managing contributions.
• Proficient in auditing tasks, providing constructive feedback, and driving quality improvement.
• Demonstrates initiative, curiosity, and a proactive approach to continuous improvement.
• Open to learning new skills and proposing innovative solutions to enhance team performance.
• Excellent organizational and communication skills with a collaborative mindset.
• Self-motivated, adaptable, and trustworthy with a focus on contributor retention and team dynamics.

Qualifications:

• Proven experience in a project management or supervisory role in Engineering, preferably in data annotation or a related field.
• Familiarity with quality guidelines, auditing processes, and performance management.
• Ability to effectively use tools such as speed audit, rebirth, worker tags, and channel management.
• Strong understanding of project rules, instructions, and quality assurance standards.
• Proficient in accurately interpreting metrics and making informed decisions based on data analysis.

Job Summary:

We are seeking an experienced and proactive IT Systems Manager to oversee, maintain, and optimize our company’s IT infrastructure and systems. This role is critical in ensuring the reliability, security, and scalability of all IT services, both on-premises and in the cloud. The ideal candidate will have a strong background in systems administration, network management, and team leadership.

Key Responsibilities:

• Manage and monitor all installed systems and infrastructure for the organization.
• Install, configure, test, and maintain operating systems, application software, and system management tools.
• Ensure the highest levels of systems and infrastructure availability.
• Manage IT staff, assign tasks, and provide support for system-related projects.
• Maintain security, backup, and redundancy strategies.
• Handle system upgrades, patches, and performance tuning.
• Develop and document IT policies, procedures, and standards.
• Collaborate with vendors and support teams to resolve hardware and software issues.
• Ensure compliance with IT standards and data security regulations (e.g., GDPR, HIPAA).
• Monitor system resource utilization, trends, and capacity planning.

Requirements:

• Bachelor's degree in Information Technology, Computer Science, or related field.
• Proven experience (5+ years) in systems administration, network management, or IT operations.
• Strong knowledge of Windows and/or Linux server environments.
• Experience with cloud platforms (AWS, Azure, GCP).
• Hands-on experience with firewalls, VPNs, and other network security technologies.
• Proficiency in managing backup, disaster recovery, and business continuity planning.
• Strong problem-solving and project management skills.
• Excellent communication and interpersonal abilities.

Preferred Qualifications:

• Experience with virtualization (VMware, Hyper-V).
• Certifications such as ITIL, CompTIA Network+/Security+, Microsoft Certified: Azure Administrator, or AWS Certified SysOps Administrator.
• Familiarity with helpdesk or ticketing systems (e.g., ServiceNow, Jira).
• Knowledge of scripting or automation tools (e.g., PowerShell, Python).

Company Description

Palira Inc. is a proven and trusted data partner offering commercial-focused analytics services globally. We begin by thoroughly understanding our clients' business challenges, using data to diagnose root causes and identify key opportunities for improvement. Our expertise translates complex data into clear, actionable insights, streamlining decision-making processes. We empower teams to implement data-driven strategies that drive sustainable growth and unlock full potential.

Role Description

This is a full time, remote (work from home) role for a Director of Data Engineering. The Director of Data Engineering will be responsible for leading and overseeing data science projects, performing data analysis, creating data visualization solutions, and developing data analytics strategies. Day-to-day tasks will include collaborating with cross-functional teams, ensuring data integrity, and making data-driven decisions to optimize operations.

Person needs to have knowledge and working experience with MS Fabric and has experience in building ETL pipelines from third party sources. Will be working with US based clients in deploying solutions in their tech environment.

Qualifications

• Ability to work independently and manage remote teams
• Experience in implementing data-driven strategies
• Bachelor's or Master's degree in Data Science, Engineering, Statistics, or related field
• At least 7 years of experience in tech, data and engineering domain

Role: Prompt Engineer (Full-time Internship, Remote) This is a remote full-time paid internship for a Prompt Engineer. You will help us push the boundaries of what LLMs can do by designing, testing, and optimizing individual prompts as well as multi-step prompt chains to solve complex tasks.

Responsibilities

• Prompt Crafting : Design, edit, and refine prompts for different use cases and models.
• Prompt Chaining : Break down complex tasks into smaller subtasks and build effective multi-step prompt workflows (e.g., summarization → critique → rewrite).
• Benchmarking & Evaluation : Use Python to run automated performance benchmarks based on KPIs like accuracy, cost, and latency.
• Iterative Improvement : Run A/B tests, gather output samples, and tweak prompts based on failure cases and edge conditions.
• KPI Optimization : Ensure prompt chains meet predefined goals like output quality, relevance, length, and compute cost.
• Model Awareness : Stay updated with the latest in GPT, Claude, Gemini, and open-source LLMs.
• Tooling & Automation : Build or use lightweight tooling for prompt testing, logging, and result comparison.
• Documentation : Maintain a structured prompt logbook with evaluations, learnings, and chain architecture.

Salary: Rs.20,000/month Duration : 3–6 months

Must-Have Qualifications

• Strong Python scripting and automation experience.
• Experience using OpenAI or other LLM APIs.
• Understanding of prompt chaining or multi-step reasoning with LLMs.
• Comfort with debugging and improving prompts using test inputs and edge cases.
• Strong communication and analytical skills.
• Familiarity with basic evaluation techniques (BLEU, ROUGE, token count, etc.).

Nice-to-Have

• LangChain or similar framework experience.
• Experience working with vector DBs, retrieval-augmented generation (RAG), or memory components.
• Knowledge of how to manage context windows and output formatting across models.
• Open-source contributions or published prompt collections.

Ideal For Final-year students who have semester break for internship or recent grads ambitious about AI/LLMs and looking to develop real-world prompt engineering and model optimization skills. You’ll work closely with founders to build robust, high-performing AI workflows for production-grade products.

(Candidates from Product Background only )

What You’ll Do

We are seeking an experienced and experienced AI & Machine Learning Technical Manager to lead our dynamic team in developing cutting-edge AI & ML solutions. This role is perfect for someone passionate about applying AI and ML, promote innovation, and create impactful products. You will be responsible for our AI systems (conversational agents, tax code classification for products and services, document intelligence, etc.) and how we apply them at Avalara to simplify and scale tax compliance across our entire portfolio of products. As an important part of our leadership team, you will shape the future of our AI & ML projects, manage a talented team of AI professionals, and collaborate with teams to implement projects. We offer the chance to work on pioneering AI technologies and mentor a team of experts, and contribute to the strategic direction of our AI & ML endeavors.

This role will report to Sr Director of AI & ML.

What Your Responsibilities Will Be

• Lead and manage a team of AI&ML engineers and data scientists, overseeing project lifecycles from conception to deployment, ensuring timely delivery.
• Develop team members, providing guidance on technical challenges, career development, and professional growth opportunities.
• Stay up to date with the latest AI&ML technologies and methodologies, incorporating new approaches into our projects to maintain competitive advantage.
• Develop our AI&ML strategy, aligning with our objectives, and ensuring the team's projects support this vision.
• Collaborate with teams, including product management, engineering, and design, to define project requirements, set priorities, and allocate resources effectively.
• Foster a culture of innovation, encouraging experimentation and learning, and leading by example in adopting a hands-on approach to problem-solving.
• Ensure implementing best practices in project management, software development, and quality assurance to optimize team performance and productivity.
• Manage stakeholder communications, providing regular updates on project status, important milestones, and any challenges or risks, ensuring alignment and support across the organization.

What You'll Need to be Successful

Specific Qualifications:

• Expertise in AI technologies and methodologies, with a portfolio of projects demonstrating your ability to apply these in solving complex problems.
• Experience building and deploying to production APIs powered by AI & Machine Learning systems.
• Proficiency in programming languages relevant to AI & ML, such as Python, R, Java, Scala, C++ and familiarity with AI & ML frameworks and libraries (e.g., PyTorch, TensorFlow, and Scikit-learn).
• Experience with cloud computing platforms (AWS, Azure, Google Cloud) and understanding of how to use these for scalable, secure, reliable distributed systems with complex workflows relying on AI & ML solutions.
• Background in data engineering and familiarity with database technologies, as well as, data processing / ETL pipelines and visualization tools.

:

General Qualifications:

• Bachelor's degree in Computer Science, Artificial Intelligence, or Machine Learning.
• 9 years of experience in AI & ML with at least 6 years in a management position, overseeing technical teams.
• Translate complex technical concepts and challenges into clear strategic plans and applicable solutions.
• People management skills, with experience mentoring and developing teams.
• Excellent project management skills, with experience in agile methodologies

(Candidates from Product Background only )

How We'll Take Care of You

Total Rewards

In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.

Health & Wellness

Benefits vary by location but generally include private medical, life, and disability insurance.

Inclusive culture and diversit y

Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.

What You Need To Know About Avalara

We’re Avalara. We’re defining the relationship between tax and tech.

We’ve already built an industry-leading cloud compliance platform, processing nearly 40 billion customer API calls and over 5 million tax returns a year, and this year we became a billion-dollar business. Our growth is real, and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.

We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. Ownership and achievement go hand in hand here. We instill passion in our people through the trust we place in them.

We’ve been different from day one. Join us, and your career will be too.

We’re An Equal Opportunity Employer

Supporting diversity and inclusion is a cornerstone of our company — we don’t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable

Job Title: Staff Engineer (12+ Years Experience)

About the Role

We are seeking a seasoned Platform Engineer with 12+ years of experience to join our platform engineering team. This role will play a critical part in designing, building, and maintaining the internal platforms and tools that enable software development teams to work efficiently and effectively.

As a Staff Engineer, you will play a pivotal role in designing and implementing golden paths to streamline development processes across the organization. Your expertise will be crucial in enhancing application observability, ensuring robust monitoring and diagnostics capabilities. You will collaborate closely with cross-functional teams to create scalable, resilient, and efficient platforms that support the organization's strategic goals and drive innovation.

Key Responsibilities

• Design, develop, and maintain robust cloud platforms (e.g., AWS, Azure, Google Cloud).
• Enhance monitoring and diagnostics capabilities to ensure high availability and performance.
• Assist in building technical roadmap and advancing technical capabilities of the platform engineering team.
• Work closely with cross-functional teams to align platform capabilities with organizational goals.
• Identify and resolve complex technical issues, ensuring the stability and scalability of the platforms.
• Lead and mentor a team of developers and engineers, fostering a collaborative and innovative environment.

Key Requirements

• 12+ years of hands-on experience in platform engineering, DevOps, or related fields.
• Minimum 5+ years of experience in Application development using .net and Java tech stack.
• Technical lead who has consistently demonstrated the capability to develop high level technical design
• Help in building product technical roadmap and advancing technical capabilities
• Advanced knowledge in AWS and Azzure Infrastructure
• Advanced knowledge in scripting like Python
• Advanced knowledge in IaC tools Terraform or CloudFormation
• Advanced knowledge in designing and implementing CI/CD pipeline with tools like Jenkins, CodePipeline, or similar
• Good knowledge of version control tools like GIT, Bitbucket or Team Foundation Server
• Good knowledge of working on containers with Docker and Kubernetes
• Good knowledge in configuration management tools like Ansible, Chef or Puppet
• Hands-on experience in Code Reviews and Design Reviews.

Nice to Have

• AWS Certifications or similar
• Serverless automation
• Experience with GitOps workflows and progressive delivery strategies.
• Experience with System & IT operation – Windows and Linux OS administration.
• Understanding of networking principles and technologies (DNS, Load Balancers, Reverse Proxies), Microsoft Active Directory and Active Directory Federation Services (ADFS).

About the Company

Sparsa AI is a Singapore based Industrial-AI Startup, building the next generation of agentic AI platform to transform how physical industries—such as manufacturing and logistics—make decisions and optimize their operations. Our AI agents orchestrate complex workflows across business functions and enterprise applications including ERP, MES, CRM and supply chain environments to resolve real-world constraints and unlock productivity.

About the Role

Sparsa AI is seeking an execution-focused Vice President of Engineering to balance vision, product strategy and delivery of its agentic AI platform. This executive role blends customer-centric product leadership with technical oversight of a multi-tenant SaaS and ML/AI stack and the engineering teams that build and manage them. The ideal candidate brings solid experience in AI product development, cloud infrastructure, and cross-functional engineering team building, with a strong focus on delivering enterprise-grade solutions. This is a high-impact opportunity to shape a category-defining platform in one of the most ambitious AI startups focused on Real Economy enterprises.

This job can be located anywhere in India . Frequent travel within India as well as to locations in Europe and Asia is expected.

Core Responsibilities

• Define, own, and continuously evolve the end-to-end product roadmap in alignment with company vision and market demand.
• Translate output from the Chief AI Officer-led innovation stream into deployable enterprise-ready products.
• Prioritize product features and initiatives based on customer needs, business impact, and technical feasibility.

Product Lifecycle Leadership

• Own the end-to-end product lifecycle: concept → MVP → iterative releases → scale.
• Set and uphold delivery, quality, and performance standards across the product organization.

Infrastructure & Deployment Ownership

• Own the architecture and operations of cloud-native infrastructure used to support product deployment and scaling.
• Lead development and oversight of AI/ML Ops systems ensuring robust, automated, and secure model training, testing, and deployment pipelines.
• Ensure alignment of product infrastructure with enterprise IT security, compliance, and integration requirements.

Product-Market Fit & GTM Alignment

• Partner closely with the leadership team to align product strategy with GTM execution.
• Drive delivery success for Agentic AI solutions across our growing customer base, ensuring measurable outcomes and operational reliability.
• Interface with key customers and partners to understand emerging needs and drive product-market fit in targeted (real economy) industries.

Qualifications

• 10+ years of experience in product or platform leadership , ideally in AI startups or SaaS environments.
• Demonstrated success delivering customer-facing software and ML/AI solutions from zero to scale.
• Strong ability to connect customer problems with technical solutions, and manage trade-offs.
• Experienced in building and leading cross-functional teams (product, engineering, cloud, MLOps in agile environments).
• Proven experience building and scaling multi-tenant SaaS platforms with strong observability, compliance, and performance.
• Deep understanding of cloud-native ML architecture, MLOps best practices (CI/CD, versioning, drift detection), and integrating third-party tools across AWS, Azure, or GCP environments.
• Fluent English language skills. Additional foreign language skills will be highly valued.
• A high degree of mobility and flexibility in location is preferred.

Required Skills

• Hands-on exposure to LLM agents, orchestration frameworks (LangChain, Semantic Kernel, etc).
• Experience with developer platforms, agent SDKs, or enterprise integration stacks (e.g., SAP, MES, RPA).
• Experience with mainstream ERPs like SAP/Oracle etc.
• Experience in ERP and MES products like SAP, Siemens etc.

Preferred Skills

• You are a builder and executor, not just a strategist.
• Thrive in ambiguity and are energized by both 0→1 and 1→N product challenges.
• Have deep empathy for both internal dev teams and external enterprise users.
• Share Sparsa’s mission to provide a Digital Workforce as a Service (DWAAS) through agentic AI.

Pay range and compensation package

• Executive-level role at a visionary AI company with presence in Asia and Europe.
• High ownership, equity participation, and impact on product and company direction.
• Direct collaboration with the founding team (CEO, CSO, CAIO).
• A platform to build something transformative for global industries.

If you are passionate about building transformative products at the intersection of AI and industrial operations, we invite you to shape the future with us. This is your opportunity to lead Product delivery in a fast-growing company that is redefining how the real economy works. At Sparsa AI, you'll work alongside an exceptional team, solve real-world problems, and leave a lasting impact on global industries. Let’s build the future of Industrial AI-Agents—together.

If you have the chops, let’s connect!