Docker Jobs in Gurugram.
All active Docker roles based in Gurugram.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Staff Systems Software Engineer
Share this job
About Us:
Sauce Labs is the world's largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world's top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.
The Role:
This pivotal role drives the design and implementation of high-value features and the foundational Error-Reporting/Backtrace platform. This is a strategic product in the Sauce Labs portfolio, and you will be instrumental in enabling customers to analyze multi-dimensional data and debug at scale to resolve their business-critical production issues. Your solutioning and development expertise in native, low-level systems (Rust, C/C++) will accelerate the evolution of this intricate product with a highly performant custom columnar database. Core Linux backend skills and a DevOps perspective are essential to design and evolve a scalable, maintainable platform. You will collaborate remotely with a global engineering team on new capabilities, enhancing backend performance, reliability, data analysis, and user experience. If you have compelling code to share, we would love to see it—we hire for demonstrable talent first!
Responsibilities:
- Extend core subsystems including work scheduling, networking (HTTP), storage, indexing, and data analysis. Performance-sensitive components are primarily in Rust and C/C++.
- Enhance platform observability by integrating bespoke and off-the-shelf OpenTelemetry capabilities, encompassing metrics, tracing, and profiling, and evolving Grafana dashboards to provide deeper insights.
- Collaborate with business and management functions to develop and execute the product roadmap.
- Provide technical leadership, advising on investments, leading solution design and development, and mentoring junior staff.
- Participate in on-call rotation.
- Contribute to improvements in the software development lifecycle for increased velocity and quality.
Required Skills:
- 7+ years of development experience in C/C++ and Rust.
- Demonstrable skill in developing specialized data structures, algorithms, and supporting infrastructure for real-world workloads.
- Solid experience with cloud platforms (GCP, AWS).
- Proficiency with live and post-mortem debugging tools.
- Expertise in the development of AI-driven features, as well as agents and skills integrated with internal workflows.
- Strong experience managing/scripting CI and scaling infrastructure using DevOps tools like Jenkins, Docker, Kubernetes, and Salt.
- You are autonomous, take initiative, and act on it.
- You stay current with the field, having read at least 2 relevant computer systems papers in the last year.
- You have a proven track record of collaboration and pragmatism, leveraging the strengths of others to build great products.
This Saucer can be found globally. We believe in the power of in-person collaboration to build strong relationships and drive innovation. To support this, our office models are tailored by region:
- Poland, Berlin, and the US: We operate on a hybrid basis, offering flexibility alongside collaboration with in-office days as required.
- India: We operate in-office 5 days a week to maximize team synergy and real-time collaboration and mentorship.
Regardless of location, Saucers living near an office are expected to be present and engaged with their local teams.
Please note our privacy terms when applying for a job at Sauce Labs.
Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.
Security responsibilities at Sauce
At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.
Ready to apply?
Apply to Sauce Labs Inc.
Principal Solutions Architect (Application modernisation)
Share this job
MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).
We are looking for a Principal Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in Bengaluru, Mumbai or Gurugram near an airport that will enable them to easily visit customer sites in APAC.
This role can be based remotely in Bengaluru, Mumbai or Gurugram.
Roles Responsibilities
- Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
- Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
- Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc
- Experience designing with scalable and highly available distributed systems in the cloud and on-prem
- Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
- Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
- Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
- Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
- The ability to travel up to 25%
- A Bachelor’s degree or equivalent work experience
You may also have
- Experience selling databases and/or deploying applications with any of the major cloud providers
- Experience with database programming and data models
- Experience in data engineering or AI/ML projects
- Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
- Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
- A MongoDB Certification
- A Cloud Provider Certification
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 426250
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Ready to apply?
Apply to MongoDB
Lead Solution Engineer - Corp Tech
Share this job
Company Overview
Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.
Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.
We are looking for a Solutions Engineer – Lead Engineer to join our Corporate Technology team. As a Solutions Engineer, you will be expected to leverage your extensive experience and technical expertise to design, implement, and optimize Windows-based solutions in enterprise environments.
What You'll Do:
- Architectural Design: Lead the design and development of complex solutions, ensuring alignment with business objectives and architectural principles.
- AI observability for platforms and assistants. Instrument agents and automations with metrics for accuracy, drift, latency, containment, and user satisfaction; wire dashboards (Grafana/ELK) and feedback loops into CI/CD so models and prompts improve continuously—consistent with the JD’s observability focus
- Technical Leadership: Provide guidance and mentorship to engineering teams in the implementation of Windows-based solutions, ensuring best practices and adherence to industry standards.
- Solution Development: Collaborate with cross-functional teams to translate business requirements into scalable and secure Windows architectures, integrating with existing systems and technologies.
- Technology Evaluation: Research and evaluate emerging technologies and tools, recommending innovative solutions to enhance system performance, reliability, and security.
- Risk Management: Identify and mitigate risks associated with Windows-based solutions, ensuring compliance with regulatory requirements and security standards.
- Troubleshooting and Optimization: Investigate and resolve complex technical issues related to Windows infrastructure, optimizing performance, and minimizing downtime.
- Automation and DevOps: Knowledge of Gitops, Scripting and automation would be an essential part of the role. Knowledge of writing automations in either PowerShell/Python would be a mandatory requirement for this role.
What You’ll Need:
- 6+ years architecting and implementing enterprise infrastructure solutions with a proven track record of designing scalable, resilient, and secure systems including integration with Windows and cloud platforms.
- Expertise in Windows Server, Active Directory, Microsoft Azure/AWS virtualization (EC2, Azure VMs, Azure Virtual Desktop), and Microsoft Defender. Knowledge of macOS integration with enterprise identity platforms (Active Directory, Azure AD, Okta), including single sign-on (SSO) and federated authentication. Ability to design and optimize multi-platform architectures (Windows, macOS, Linux) for scalability, resilience, and security.
- Proficiency with Microsoft Intune for endpoint management (MDM/MAM) and understanding of hybrid architecture and cloud shared responsibility model. Proficiency in macOS device management using tools such as Jamf Pro, Kandji, or Apple Business Manager, including MDM/MAM strategies for hybrid and multi-platform environments. Experience with automation and scripting on macOS (e.g., Bash, Zsh, AppleScript, Python), enabling workflow optimization and cross-platform orchestration
- Strong troubleshooting skills for macOS infrastructure, including performance optimization, incident response, and root cause analysis.
- PowerShell and Python coding/scripting capabilities for automation and workflow development
- Experience with GitOps, CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible, ARM templates)
- Proficiency in cloud-native and multi-cloud architectures (Kubernetes, Docker, serverless)
- Familiarity with observability and monitoring platforms (Prometheus, Grafana, ELK stack) and AI-driven automation
- Familiarity with Exchange Online, SharePoint, Microsoft Power Platform would be a plus
- Experience implementing zero trust solutions (Zscaler, CrowdStrike) would be a plus
- Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, MCSE: Core Infrastructure, or AWS Solutions Architect would be a plus
- Good to have exposure with AI/ML integration, data analytics, and automation in enterprise environments.
Arcesium's Personal Data Privacy Notice for Candidates is linked here.
Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).
Arcesium is an equal opportunity employer.
Ready to apply?
Apply to Arcesium LLC
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for a Full Stack Engineer who expects more from their career. This role offers an opportunity to build scalable, high-performance solutions in the engineering team, enhance code quality and engineering excellence, and contribute to critical architecture decisions within a data driven environment.
You’ll be part of a team that builds advanced software solutions for retail clients, focused on driving customer loyalty and personalization at scale. The team combines data, AI, and automation to help businesses better understand their customers and create meaningful, tailored experiences. By bringing together customer insights and strategy, the solutions enable retailers to design, manage, and optimize loyalty programs, customer journeys, and campaigns in real time—ensuring every interaction feels relevant and impactful.
With decades of expertise in retail and personalization, the team delivers a flexible, end-to-end platform that includes customer profile management, AI-driven predictions, campaign orchestration, and performance dashboards. Beyond implementation, the team works closely with clients to continuously refine strategies and maximize outcomes—helping businesses increase customer retention, influence behavior, and drive sustainable revenue growth in an increasingly AI-driven world.
Responsibilities:
• 3+ years of hands-on experience in Full Stack development, focusing on performance, scalability, security, and maintainability.
• Strong proficiency in Frontend tech with expertise in any frontend framework.
• Strong proficiency in backend programming language, system design, Oops concepts.
• Drive code quality, ensuring adherence to best practices, design patterns, and SOLID principles.
• Experience with cloud platforms (Google Cloud Platform & Azure), implementing cloud native best practices for scalability, security, and resilience.
• Experience with containerization (Docker) and orchestration (Kubernetes, Helm).
• Knowledge in CI/CD automation, with experience in GitOps workflows and Infrastructure-as Code (Terraform, Helm, or similar).
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
About the Role:
We’re looking for a team player with excellent interpersonal skills & service oriented. Creative & out of the box thinker. An autodidact, quick, effective and versatile who’s able to change directions in midstream. Independent & Accountable.
What you’ll be spending your time on
- Create and maintain CI/CD pipelines for the company's products
- Building and maintaining high-performance, fault tolerant, scalable ALM system, from Version control, Builds and Deployments to Monitoring and configuration management
- Maintain the application layer of our public cloud and private cloud
- Develop and integrate infrastructure tools in support of our production system
- Automate the Provisioning and configuration of Windows/Linux environments
- Work closely with product, QA, developers and IT/operations departments to streamline their working methods
- As a core member of the team, you will participate in 'On-Call' duties on Payoneer production systems, working in non-conventional hours include weekends and holidays (from time to time)
Have you done this kind of stuff?
- BS degree in computer science, computer engineering, relevant technical discipline or equivalent practical experience
- At least 6 years’ experience as DevOps Engineer
- A minimum of 5 years of exposure running production workloads (AWS, Azure or GCP)
- Microservices architecture & container orchestration (Docker and Kubernetes)
- Experience with CI/CD tools and source control management tools (e.g., Git, Azure DevOps, SonarQube, Artifactory etc...)
- Experience with GitOps (e.g., ArgoCD or Flux)
- Experience with Configuration Managements tools like Chef, Ansible or Puppet
- Proven Scripting capabilities: PowerShell/Bash/Python
- High level Linux OS expertise
- Programming experience skills (C#, NodeJS - advantage)
- Experience managing application servers and web servers
- Strong troubleshooting skills
- Experience with monitoring and logging solutions (e.g. Prometheus, Grafana and ELK)
- Proactive by nature; internal drive for excellence and improvement
Not a must but a great advantage
- Experience in SQL
- Experience with software development and development frameworks
- Experience with event streaming and messaging platforms such as Kafka, RabbitMQ…
- Provisioning and operating NoSQL databases such as MongoDB, Redis, Elasticsearch …
- Knowledge and understanding Storage and Networking
#LI-PG1
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role Summary
We are hiring Senior Engineers who combine solid software engineering fundamentals with proven proficiency in AI-assisted development. This role is designed for engineers who have actively used AI coding tools (such as Cursor, Claude Code, Codex CLI only) for at least one year and can leverage these capabilities to ship higher-quality code faster. You will be embedded in product engineering squads, leading feature development, mentoring junior engineers, and championing AI-first development practices across the team.
What Makes This Role Different
This is not an AI research role - it is a core engineering role for engineers who use AI as a force multiplier. We expect you to:
- Use AI coding assistants daily to accelerate development without sacrificing code quality.
- Critically evaluate AI-generated code for correctness, security vulnerabilities, and maintainability.
- Share best practices for AI-assisted workflows with the broader engineering team.
- Help define team standards for responsible and effective AI tool adoption.
Key Responsibilities
1 Feature Engineering & Delivery
- Design, build, and ship production-quality features across the full stack or within your domain (backend, frontend, platform, or data).
- Leverage AI coding assistants to write, refactor, document, and test end-to-end code efficiently.
- Translate product requirements and technical specifications into clean, maintainable implementations.
- Lead feature squads for medium-complexity initiatives from design through deployment.
- Participate in and drive sprint planning, backlog grooming, and technical estimation sessions.
2 AI-Augmented Development Practices
- Champion the use of AI pair-programming tools (Copilot, Cursor, Claude, etc.) across the engineering org.
- Develop and document internal guidelines for effective AI prompt engineering within coding workflows.
- Conduct training sessions or knowledge-share presentations on maximising productivity with AI tools.
- Critically audit AI-generated code for logic errors, security issues, and performance anti-patterns before merging.
- Stay updated on the latest AI development tooling and evaluate new tools for team adoption.
3 Code Quality & Engineering Excellence
- Write testable, modular, and well-documented code following the team's style guides and design principles.
- Drive test-driven development (TDD) and maintain code coverage targets.
- Perform thorough code reviews with constructive feedback; uphold engineering standards.
- Identify and address technical debt proactively; contribute to architecture improvements.
- Participate in RCA (root cause analysis) for production incidents; implement lasting fixes.
4 Architecture & Technical Design
- Contribute to system design discussions, proposing solutions with appropriate trade-off analysis.
- Create and maintain technical design documents (TDDs), ADRs (Architecture Decision Records), and API contracts.
- Evaluate and adopt relevant third-party libraries, APIs, and SaaS tools with a security-first mindset.
- Collaborate with platform / DevOps teams on observability, CI/CD pipelines, and infrastructure-as-code.
5 Mentoring & Team Growth
- Mentor 1–2 mid-level engineers; conduct regular 1:1 technical coaching sessions.
- Onboard new team members by sharing codebase context, tooling setup, and team practices.
- Contribute to a culture of psychological safety, learning from failures, and continuous improvement.
6 Cross-functional Collaboration
- Work closely with Product Managers, Designers, and Operations to deliver delightful, high-quality user experiences.
- Coordinate with data and AI/ML teams to integrate model endpoints, APIs, and AI features into product surfaces.
- Participate in customer-facing escalations where deep technical expertise is required.
Required Qualifications
1 Education
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Candidates without a degree but with a strong portfolio and demonstrable project history will be considered.
2 Experience
- 3 – 5 years of professional software engineering experience in a product-focused environment.
- Minimum 1 year of active, hands-on experience using AI coding tools in professional work (not just personal projects).
- Track record of shipping production features end-to-end with measurable business impact.
3 Technical Skills — Core Engineering
- Languages: Proficiency in at least one of — Python, TypeScript/JavaScript, Java, Go, or Kotlin.
- Web / API: REST, GraphQL, gRPC; familiarity with microservices and event-driven architectures.
- Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB).
- Cloud: AWS, GCP, or Azure — compute, storage, serverless, and managed services.
- DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins, CircleCI); IaC basics (Terraform/Pulumi).
- Testing: Unit, integration, and e2e testing frameworks; TDD/BDD familiarity.
- Version Control: Git, branching strategies (GitFlow, trunk-based), PR workflows.
4 AI Tooling Skills (Mandatory)
- Demonstrated proficiency with at least one AI coding assistant (Cursor IDE, Claude Code, Codex CLI).
- Ability to craft effective prompts for code generation, refactoring, debugging, and documentation tasks.
- Experience reviewing and validating AI-generated code for correctness and security.
- Understanding of limitations of LLM-based coding tools (hallucinations, context window, license risks).
5 Nice to Have
- Contributions to open-source projects.
- Experience building or integrating AI/ML features (e.g., calling LLM APIs, embedding models, RAG pipelines).
- Familiarity with agentic coding frameworks (LangChain, LlamaIndex, AutoGen, CrewAI).
- Experience in a startup or scale-up environment with rapid iteration cycles.
- Knowledge of web security (OWASP Top 10, secure coding practices).
Behavioural Competencies
- AI-First Mindset: Naturally reaches for AI tools to accelerate tasks while maintaining engineering rigour.
- Ownership: Takes end-to-end accountability — from design to deployment to monitoring.
- Pragmatism: Balances perfect with shipped; knows when to iterate vs. over-engineer.
- Mentorship: Invests in the growth of peers and junior colleagues.
- Communication: Writes clearly (code comments, docs, Slack) and articulates trade-offs confidently.
- Curiosity: Continuously explores new tools, languages, and architectural patterns.
- Collaboration: Works well in cross-functional squads; builds trust quickly.
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role Summary
We are seeking a Lead Engineer, AI Systems to serve as the technical anchor across our AI-augmented engineering organisation. This role bridges our Senior AI Coding Engineers, the AI/ML Developer (SLM Specialist), and the Agentic Systems intern cohort. You will set technical direction, own cross-cutting architectural decisions, and champion the responsible, high-impact adoption of AI-assisted development practices across the entire engineering function.
You will remain hands-on with code while simultaneously shaping how the wider team builds, evaluates, and ships AI-powered products.
Key Responsibilities
1 Technical Vision & Architecture
- Define and own the end-to-end technical architecture for AI Systems — spanning product feature surfaces, model inference APIs, and agentic toolchains.
- Drive Architecture Decision Records (ADRs), system design reviews, and RFC processes across squads.
- Establish standards for integrating SLM/LLM model endpoints into product surfaces built by the Senior Engineering team.
- Evaluate emerging AI infrastructure patterns (RAG, agentic orchestration, vector stores, model serving) and guide adoption decisions.
- Own the technical roadmap for AI tooling, developer productivity, and model integration layers.
2 Cross-Squad Technical Leadership
- Act as the primary technical liaison between the AI/ML Developer (model side) and Senior Engineers (product side), ensuring smooth API contracts, evaluation loops, and deployment handoffs.
- Provide technical direction to Agentic Systems interns, reviewing designs, code, and agentic pipeline implementations.
- Unblock senior engineers on hard architectural or integration challenges that span squad boundaries.
- Run cross-team design reviews, architecture syncs, and engineering guild sessions.
3 AI-Augmented Engineering Excellence
- Define and maintain the organisation’s standards for AI-assisted development — covering context engineering, AI code review protocols, context management, and tool evaluation criteria.
- Maintain and evolve the internal AI tooling playbook (Cursor IDE, Claude Code, Codex CLI, and emerging tools).
- Evaluate new AI coding tools, agentic frameworks (LangChain, LlamaIndex, CrewAI, AutoGen), and developer-productivity platforms; produce adoption recommendations with measured trade-offs.
- Conduct structured audits of AI-generated code across squads for correctness, security, and maintainability.
4 Hands-On Engineering
- Remain an active contributor: own critical-path features, prototype architectural spikes, and build shared infrastructure components used across squads.
- Personally drive resolution of the most complex production incidents and root-cause analyses.
- Review and merge high-impact PRs; maintain the highest code review quality bar on the team.
- Own observability and reliability for AI inference and MLOps integration layers in production.
5 Mentoring & Talent Development
- Mentor Senior Engineers, the AI/ML Developer, and interns through technical coaching, design feedback, and stretch assignments.
- Lead hiring panels and technical interviews; help define and uphold the engineering hiring bar.
- Contribute to onboarding frameworks that embed AI-first practices from day one.
- Model a culture of rigorous experimentation, psychological safety, and continuous improvement.
6 Stakeholder & Product Collaboration
- Partner with the Director of Engineering and Product leadership to translate product strategy into a phased technical roadmap.
- Present architectural proposals and trade-off analyses to engineering leadership and executive stakeholders as required.
- Coordinate with DevOps/Platform teams on GPU/TPU compute provisioning, CI/CD for model pipelines, and cloud cost optimisation.
Required Qualifications
1 Education
- Bachelor’s or Master’s degree in Computer Science, or a related field.
- Candidates without a degree but with a compelling portfolio demonstrating scope and impact at staff/lead level will be considered.
2 Experience
- 6 – 8 years of professional software engineering experience in product-focused environments.
- Minimum 2 years in a formal or de-facto technical lead / staff engineer capacity across multiple squads or systems.
- Minimum 8-12 months of active, hands-on experience with AI coding tools in a professional engineering setting.
- Proven track record of shipping production systems with measurable business impact at scale.
- Demonstrated experience collaborating closely with ML/AI model teams on integration, deployment, and evaluation.
3 Technical Skills — Core Engineering
- Languages: Expert proficiency in at least two of — Python, TypeScript/JavaScript, Go.
- Architecture: Microservices, event-driven systems, API design (REST, GraphQL, gRPC), distributed systems fundamentals.
- Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis); vector databases (FAISS, Pinecone, Weaviate).
- Cloud: AWS, GCP, or Azure — compute, storage, serverless, managed ML services (SageMaker, Vertex AI).
- DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins); IaC (Terraform/Pulumi); observability stacks.
- Testing: TDD/BDD; unit, integration, and e2e frameworks; model evaluation pipelines.
4 AI / ML Integration Skills (Mandatory)
- Demonstrated proficiency with AI coding assistants (Cursor IDE, Claude Code, Codex CLI) in daily professional workflows.
- Experience designing and consuming LLM/SLM inference APIs; understanding of model serving, latency, and cost trade-offs.
- Hands-on familiarity with RAG architectures, vector stores, and retrieval pipelines.
- Ability to define and enforce AI code quality standards across an engineering team.
- Understanding of LLM limitations: hallucinations, context window constraints, prompt injection risks, and licensing considerations.
5 Technical Skills — Nice to Have
- Experience with SLM/LLM training or fine-tuning pipelines (SFT, RLHF, LoRA/QLoRA).
- Familiarity with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) and multi-step reasoning pipelines.
- Contributions to open-source ML or developer tooling projects.
- Knowledge of OWASP Top 10, secure coding, and AI-specific security risks (prompt injection, model exfiltration).
- Prior experience in a high-growth startup or scale-up environment with rapid iteration cycles.
Behavioural Competencies
- AI-First Mindset: Defaults to AI tools to accelerate work while maintaining rigorous quality standards; actively pushes the team’s AI capability forward.
- Systems Thinking: Sees the full picture — how model outputs, product surfaces, and infrastructure interdepend; anticipates second-order effects of architectural choices.
- Ownership: Takes end-to-end responsibility from design through production; doesn’t hand off problems, solves them.
- Influence Without Authority: Earns trust through technical credibility; drives alignment through persuasion, data, and well-reasoned proposals.
- Communication: Writes clear design docs, ADRs, and post-mortems; articulates complex trade-offs for engineering peers and non-technical stakeholders.
- Mentorship: Actively invests in the growth of engineers at all levels; gives direct, constructive feedback.
- Pragmatism: Balances the ideal with the shipped; knows when to iterate vs. refactor vs. rewrite.
- Curiosity: Continuously explores emerging research, tools, and patterns — and brings those learnings back to the team.
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role Summary
We are looking for a technically strong AI / ML Developer with hands-on expertise in training and fine-tuning Small Language Models (SLMs) and RAG Solutions. The ideal candidate will drive end-to-end AI Solutions — from dataset curation and pre-processing to training, evaluation, and production deployment. You will collaborate closely with product, product engineers, and infrastructure teams to build AI solutions that are efficient, scalable, and business-aligned.
Key Responsibilities
1 Model Design & Training
- Design, train, and fine-tune Small Language Models (SLMs) using frameworks such as PyTorch, TensorFlow, or JAX.
- Conduct experiments with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and instruction tuning.
- Implement efficient training pipelines leveraging distributed training (DDP, FSDP) across GPU/TPU clusters.
- Perform hyperparameter optimisation, ablation studies, and model selection based on benchmark results.
- Develop and maintain data pipelines for collecting, cleaning, tokenising, and pre-processing large-scale training corpora.
2 Model Evaluation & Quality
- Define and implement evaluation frameworks including perplexity, BLEU, ROUGE, BERTScore, and task-specific benchmarks.
- Conduct red-teaming, bias analysis, and safety evaluations to ensure responsible AI deployment.
- Benchmark models against established baselines (e.g., GPT-2, Phi, Mistral) and track performance over iterations.
- Collaborate with QA teams to build regression suites for model versioning and continuous evaluation.
3 MLOps & Deployment
- Containerise and deploy models using Docker, Kubernetes, and cloud-native ML platforms (AWS SageMaker / GCP Vertex AI / Azure ML).
- Build and maintain model registries, experiment tracking (MLflow, Comet), and reproducible training pipelines.
- Optimise inference performance through quantisation (INT8, INT4), pruning, distillation, and ONNX/TensorRT conversion.
- Monitor model drift, data drift, and performance degradation in production; implement automated retraining triggers.
4 Research & Innovation
- Stay current with state-of-the-art NLP/LLM research; prototype and validate new techniques from published literature.
- Contribute to internal knowledge sharing, technical documentation, and model cards.
- Explore parameter-efficient fine-tuning (PEFT) methods such as LoRA, QLoRA, and Adapter layers.
- Investigate and apply mixture-of-experts (MoE), retrieval-augmented generation (RAG), and agentic workflows as needed.
5 Collaboration & Stakeholder Management
- Work with product managers and domain experts to translate business requirements into model objectives and KPIs.
- Communicate model capabilities, limitations, and trade-offs clearly to both technical and non-technical stakeholders.
- Participate in architecture reviews, sprint planning, and cross-functional design discussions.
Required Qualifications
1 Education
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field.
- Equivalent professional experience with a strong portfolio of delivered AI/ML projects will be considered.
2 Experience
- 4 – 6 years of professional experience in machine learning or NLP engineering.
- Minimum 2 years of direct, hands-on experience in training or fine-tuning language models (LLMs or SLMs).
- Demonstrable experience taking a model from dataset preparation through to production deployment.
3 Technical Skills — Core
- Programming: Python (proficient); familiarity with C++/CUDA a plus.
- Deep Learning Frameworks: PyTorch (primary), TensorFlow or JAX.
- NLP Libraries: Hugging Face Transformers, Datasets, PEFT, TRL, Accelerate.
- Training Infrastructure: Multi-GPU training, FSDP, DeepSpeed ZeRO stages 1–3.
- Data Engineering: Pandas, NumPy, Apache Spark or Dask for large-scale data prep.
- Vector DBs & Retrieval: FAISS, Pinecone, Weaviate, or equivalent.
- Cloud Platforms: AWS, GCP, or Azure — ML-specific services (SageMaker, Vertex AI, etc.).
- Version Control & CI/CD: Git, GitHub/GitLab, MLflow or W&B for experiment tracking.
4 Technical Skills — Nice to Have
- Experience with multimodal models or vision-language models (VLMs).
- Knowledge of model safety, alignment techniques, and responsible AI frameworks.
- Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
- Contributions to open-source ML projects or publications at NeurIPS, ICML, EMNLP, ACL.
Behavioural Competencies
- Intellectual Curiosity: Keeps up with rapidly evolving AI research and applies learnings pragmatically.
- Problem Solving: Approaches ambiguous problems with structured, data-driven thinking.
- Ownership: Takes full accountability for model quality, timelines, and production reliability.
- Collaboration: Works effectively in cross-functional teams with diverse skill sets.
- Communication: Distils complex technical concepts for diverse audiences.
- Adaptability: Thrives in a fast-paced environment where priorities evolve with research breakthroughs.
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Job Title: Senior Full Stack Machine Learning Engineer
About Us:
Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. Our mission is to leverage cutting-edge technology to improve health outcomes and streamline healthcare processes. We are looking for a talented and experienced Senior Full Stack Machine Learning Engineer to join our dynamic team.
Job Description:
- As a Senior Full Stack Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying machine learning models that drive our healthcare solutions. You will work closely with data scientists, software engineers, and product managers to build scalable and robust machine learning systems. Your expertise will help us transform healthcare data into actionable insights, ultimately improving patient care and operational efficiency.
Key Responsibilities:
- Model Development: Design, implement, and optimize machine learning models for various healthcare applications, including predictive analytics, natural language processing, and generative AI.
- End-to-End Deployment: Develop and maintain the full lifecycle of machine learning solutions, from data preprocessing and model training to deployment and monitoring in production environments.
- Data Engineering: Collaborate with data engineers to build and maintain data pipelines, ensuring the availability of high-quality data for training and inference.
- Software Development: Write clean, efficient, and maintainable code for machine learning applications, ensuring seamless integration with existing systems.
- Performance Optimization: Continuously monitor and improve the performance of machine learning models and systems, addressing issues related to scalability, latency, and accuracy.
- Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
- Mentorship: Provide guidance and mentorship to junior engineers, fostering a culture of continuous learning and innovation.
Qualifications:
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Ph.D. is a plus.
- Experience: Minimum of 5 years of experience in machine learning, with a proven track record of deploying models in production environments.
Technical Skills:
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in building applications leveraging generative AI technologies which includes LLM’s, prompt engineering, Vector Databases, RAG architectures and transfer learning is a plus.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
- Strong knowledge of data structures, algorithms, and software engineering best practices.
- Familiarity with big data technologies (e.g., Hadoop, Spark) and data pipeline tools (e.g., Airflow, Kafka).
- Experience with frontend and backend development, including frameworks such as React, Node.js, and Django.
Domain Knowledge: Understanding of healthcare data standards (e.g., HL7, FHIR) and regulations (e.g., HIPAA) is a plus.
Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work independently and as part of a team in a fast-paced environment.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work on impactful projects that improve healthcare outcomes.
- Collaborative and innovative work environment.
- Professional development and growth opportunities.
- Flexible work arrangements, including hybrid and remote options.
Join us in our mission to transform healthcare through technology! We look forward to hearing from you.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for a Sr Full Stack Software Engineer who expects more from their career. This role offers an opportunity to build scalable, high-performance solutions in the engineering team, enhance code quality and engineering excellence, and contribute to critical architecture decisions within a data driven environment.
You’ll be part of a team that builds advanced software solutions for retail clients, focused on driving customer loyalty and personalization at scale. The team combines data, AI, and automation to help businesses better understand their customers and create meaningful, tailored experiences. By bringing together customer insights and strategy, the solutions enable retailers to design, manage, and optimize loyalty programs, customer journeys, and campaigns in real time—ensuring every interaction feels relevant and impactful.
With decades of expertise in retail and personalization, the team delivers a flexible, end-to-end platform that includes customer profile management, AI-driven predictions, campaign orchestration, and performance dashboards. Beyond implementation, the team works closely with clients to continuously refine strategies and maximize outcomes—helping businesses increase customer retention, influence behavior, and drive sustainable revenue growth in an increasingly AI-driven world.
Responsibilities:
• 6+ years of hands-on experience in Full Stack development, focusing on performance, scalability, security, and maintainability.
• Strong proficiency in Frontend tech with expertise in any frontend framework.
• Strong proficiency in backend programming language, system design, Oops concepts.
• Drive code quality, ensuring adherence to best practices, design patterns, and SOLID principles.
• Experience with cloud platforms (Google Cloud Platform & Azure), implementing cloud native best practices for scalability, security, and resilience.
• Hands On Experience with containerization (Docker) and orchestration (Kubernetes, Helm).
• Experience in CI/CD automation, with experience in GitOps workflows and Infrastructure-as Code (Terraform, Helm, or similar).
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
About Us:
Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. Our mission is to leverage cutting-edge technology to improve health outcomes and streamline healthcare processes.
Role overview
As an MLOps Engineer, you will design, build, and operate the infrastructure and tooling that power end-to-end ML workflows on AWS, including SageMaker, Bedrock, and Snowflake Cortex. You will partner closely with data scientists, ML engineers, and platform teams to ensure models are reliable, secure, and scalable in production.
Key responsibilities
- Design, implement, and maintain CI/CD pipelines for ML models and data workflows using AWS-native services and infrastructure-as-code.
- Operationalize models built on SageMaker, Bedrock, and Snowflake Cortex, including feature pipelines, training, batch/real-time inference, and monitoring.
- Build and manage data pipelines and feature stores using services such as AWS Glue, Lambda, Step Functions, and Snowflake.
- Implement observability for ML systems (logging, metrics, tracing, drift/quality monitoring) and establish SLOs/SLAs for production ML services.
- Automate environment provisioning, configuration, and dependency management across dev, test, and production.
- Partner with security and compliance teams to ensure ML workloads meet healthcare, privacy, and regulatory standards (e.g., HIPAA).
- Collaborate with ML engineers and data scientists to productionize notebooks and prototypes into robust, maintainable services.
- Contribute to best practices, standards, and documentation for ML platform and operations across the organization.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- 4+ years of experience in software engineering, data engineering, or ML engineering with at least 2+ years focused on MLOps or ML platform work.
- Strong proficiency with Python and experience integrating ML libraries or frameworks (e.g., scikit-learn, TensorFlow, PyTorch) into production workflows.
- Hands-on expertise with AWS services relevant to MLOps: SageMaker, Bedrock, IAM, CloudWatch, ECR, ECS/EKS or Lambda, S3, Step Functions, and Glue.
- Experience with Snowflake (including Snowflake Cortex), SQL, and building secure, performant data pipelines into and out of Snowflake.
- Proficiency with CI/CD tools (e.g., GitHub Actions, GitLab CI, CodePipeline) and infrastructure-as-code (e.g., Terraform, CloudFormation, CDK).
- Familiarity with containerization and orchestration (Docker, Kubernetes) and event streaming tools (e.g., Kafka) is a plus.
- Knowledge of software engineering best practices, including testing, code reviews, version control, and design for reliability and scalability.
- Experience in regulated domains or with healthcare data standards and regulations is a plus (e.g., HIPAA, FHIR, HL7).
Soft skills and benefits
- Excellent problem-solving and analytical skills with a focus on reliability and automation.
- Strong communication and collaboration abilities, including working cross-functionally with engineering, data science, and product teams.
- Ability to work independently in a fast-paced environment
- Competitive salary and benefits package.
- Opportunity to work on impactful ML platforms that improve healthcare outcomes.
- Collaborative, innovative environment with professional development and growth opportunities.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models, taking them from prototype to scalable, live systems.
- Construct and manage the data pipelines required for model training, validation, and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
- Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
- Optimize applications for speed, scalability, and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
- Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas, NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient, production-ready code.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models, taking them from prototype to scalable, live systems.
- Construct and manage the data pipelines required for model training, validation, and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
- Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
- Optimize applications for speed, scalability, and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
- Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas, NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient, production-ready code.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Here at Anaplan, we have reinvented how companies see, plan, and run their businesses. Our platform allows our customers to uncover new insights, connect their strategy to their plans, and work in ways they had not previously thought possible. Anaplan is the only scenario planning and analysis platform designed to optimize decision-making in today's complex business environment so that enterprises can outpace their competition and the market. By building connections and collaboration across organizational silos, our platform intelligently surfaces key insights — so businesses can make the right decisions, right now. We are seeking a talented AI QA Lead to guide our team and ensure the quality and reliability of our cutting-edge AI and machine learning solutions.
Key Responsibilities
- Lead, mentor, and grow high-performing QA Engineers across multiple stream aligned teams.
- Define and drive the overall QA strategy for our Forecasting project, with a focus on time-series forecasting.
- Oversee the design, development, and maintenance of automated test frameworks.
- Guide the team in implementing and executing robust test cases for our AI-powered features and APIs.
- Champion the use of BDD frameworks, such as Gherkin, to create clear, concise, and maintainable tests.
- Ensure the team effectively tests and validates RESTful APIs to meet high standards of quality and performance.
- Collaborate with product managers, data scientists, and engineering leads to align on quality standards and release criteria.
- Oversee the identification, documentation, and tracking of bugs and inconsistencies in our AI/ML systems.
- Drive improvements to our CI/CD pipeline to ensure that our AI models are continuously tested and deployed with confidence.
Required Qualifications
- A skilled QA Engineer with 8+ years of experience testing and assuring the quality of complex platform, infrastructure, or data-centric systems.
- Strong proficiency in Python.
- Proven experience leading or mentoring a QA team in a fast-paced technical environment.
- Deep understanding of machine learning concepts and a proven track record of testing ML models, particularly in the domain of time-series forecasting.
- Expertise with testing frameworks such as pytest.
- Strong experience with Behavior-Driven Development (BDD) and Gherkin.
- In-depth knowledge of API testing and validation.
- Proficiency in modern software development practices (testing, code review, CI/CD).
- A proven track record of delivering complex technical projects on time with high quality.
- Excellent leadership, communication, and interpersonal skills.
Preferred Qualifications
- Experience with performance, scalability, and security testing of AI systems.
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML services.
- Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
- Experience with strategic planning and roadmap development for a QA function.
- A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
What Makes This Role Exciting
- You will lead a talented team at the forefront of AI innovation, working on a platform that is transforming how businesses make decisions.
- You will have a strategic impact, shaping the future of quality for our AI-powered products.
- You will be part of a collaborative and creative leadership team that values openness, authenticity, and inclusivity.
- We are a fast-growing company, and you will have ample opportunities for professional growth and to define your team's trajectory.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
We're seeking a versatile GenAI Software Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills.
Key Responsibilities
- Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments
- Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering, RAG implementation
- Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language
- Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics
- Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations
- Optimize model inference pipelines for performance, cost, and scalability in production environments
- Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour
- Collaborate with data scientists to productionize ML models and forecasting algorithms
- Write comprehensive tests including unit tests, integration tests, and prompt regression suites
- Participate in code reviews, technical design discussions, and knowledge-sharing sessions
- Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption
Required Qualifications
- 3+ years of software engineering experience with 2+ years of understanding on ML/AI systems.
- Strong programming skills in Python including understanding of ML frameworks (PyTorch, TensorFlow, Transformers)
- Understanding or experience of building and deploying LLM-powered applications in production
- Understanding or experience of front-end development with React, TypeScript, and modern web technologies
- Understanding of RESTful API design, microservices architecture, and cloud infrastructure
- Experience with prompt engineering, RAG systems
- Understanding of ML fundamentals including NLP, time-series analysis, or recommender systems
- Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
- Excellent problem-solving skills and attention to detail
- Bachelor’s degree in computer science, Machine Learning, or related field
Preferred Qualifications
- Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar)
- Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
- Experience with model serving frameworks (vLLM, TensorRT, Ray)
- Background in forecasting, planning, or analytics applications
- Familiarity with Anaplan or similar enterprise planning platforms
- Experience with A/B testing and experimentation frameworks for AI features
- Contributions to open-source ML projects or research publications
- Experience with model observability tools (LangSmith, W&B, MLflow)
What Makes This Role Exciting
- Lead a greenfield team building transformative AI capabilities from the ground up
- Work on cutting-edge conversational and agentic AI technologies
- Build user-facing AI features that directly impact how businesses plan and make decisions
- Experiment with the latest GenAI models and techniques
- Collaborate with talented engineers, data scientists, and product designers
- Solve unique challenges at the intersection of AI and enterprise software
- Grow your skills in both ML engineering and full-stack development
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
We are seeking a talented mid-level Software Developer to join our growing engineering team as an individual contributor. You will work closely with our Engineering Manager and cross-functional teams to build scalable web applications and cloud-based solutions using modern technologies. This role offers the opportunity to contribute to architectural decisions while focusing on delivering high-quality code and technical solutions.
Key Responsibilities
- Develop and maintain scalable web applications using .NET Framework/Core/5+ and modern UI frameworks
- Develop, maintain and modernize Excel integrated .Net add-in for existing client base.
- Write clean, maintainable, and well-tested code following established engineering best practices
- Collaborate with engineering teams, product management, and design to implement technical solutions
- Participate in code reviews and contribute to improving development standards and processes
- Build and maintain RESTful APIs and integrate with third-party services
- Work with cloud platforms (Azure/AWS) to deploy and maintain applications
- Contribute to technical design discussions and architectural decisions
- Implement automated testing strategies and participate in CI/CD pipeline development
- Troubleshoot and resolve technical issues across the full software development lifecycle
- Participate in Agile/Scrum ceremonies and contribute to sprint planning and estimation
- Stay current with emerging technologies and recommend improvements to existing systems
- Mentor junior developers and contribute to knowledge sharing within the team
Required Qualifications
- 3-5 years of professional software development experience
- Strong proficiency in .NET framework and .NET Core/5+ development
- Experience with modern UI frameworks (Angular, React, or Vue.js)
- Solid understanding of web development fundamentals (HTML, CSS, JavaScript)
- Experience with cloud platforms, preferably Azure or AWS
- Proficiency in database design and development (SQL Server, PostgreSQL, or similar)
- Understanding of software architecture patterns and design principles
- Experience with version control systems (Git) and collaborative development workflows
- Knowledge of API design and development (REST, JSON)
- Familiarity with Agile/Scrum methodologies
- Strong problem-solving skills and attention to detail
- Excellent communication and collaboration abilities
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
Preferred Qualifications
- Experience in Windows client application development
- Experience with containerization technologies (Docker, Kubernetes)
- Knowledge of DevOps practices including CI/CD pipelines and infrastructure as code
- Experience with automated testing frameworks and test-driven development
- Familiarity with microservices architecture and distributed systems
- Experience with NoSQL databases and data modeling
- Knowledge of GraphQL and modern API development practices
- Experience with monitoring and logging tools (Application Insights, New Relic, etc.)
- Understanding of security best practices and secure coding principles
- Experience with mobile development or full-stack development
- Knowledge of performance optimization and scalability considerations
- Previous experience in a startup or high-growth technology environment
What We Offer
- Competitive salary and comprehensive benefits package
- Opportunity to work with cutting-edge technologies and contribute to technical decisions
- Professional development opportunities and conference attendance support
- Flexible work arrangements with remote work options
- Collaborative team environment with experienced engineering leadership
- Health, dental, and vision insurance
- Generous PTO and parental leave policies
- Performance-based bonuses and growth opportunities
- Modern development tools and collaborative workspace
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models, taking them from prototype to scalable, live systems.
- Construct and manage the data pipelines required for model training, validation, and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
- Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
- Optimize applications for speed, scalability, and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert (10+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
- Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas, NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient, production-ready code.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to Anaplandunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
Tesco Media is transforming how advertisers connect with consumers through personalized and targeted campaigns across retailers' digital and physical touchpoints.
Retail Media Measurement plays a pivotal role in ensuring the effectiveness of these campaigns, driving value for advertisers, retailers, and consumers alike
Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.
Dunnhumby helps retailers and brands deliver better experiences through Customer First strategies.
We’re looking for a Full Stack Engineer who expects more from their career. This role offers an opportunity to build scalable, high-performance solutions in the engineering team, enhance code quality and engineering excellence, and contribute to critical architecture decisions within a data-driven environment.
Responsibilities:
3+ years of hands-on experience in Full Stack development, focusing on performance, scalability, security, and maintainability.
Must have C# hands on experience + PHP hands on is highly desired
Strong proficiency in Frontend tech like React.js/Angular and Javascript.
Strong proficiency in backend programming language, system design, OOP concepts.
Drive code quality, ensuring adherence to best practices, design patterns, and SOLID principle
Experience with cloud platforms (Google Cloud Platform & Azure), implementing cloud native best practices for scalability, security, and resilience.
Good to have experience with containerization like Docker
Good to have knowledge in CI/CD automation.
Tesco Media operates at the heart of Tesco, powered by dunnhumby’s data and analytics expertise. While many roles are embedded day‑to‑day in the Tesco and Tesco Media environment, colleagues work across a unique partnership, collaborating closely with Tesco teams, Tesco Media stakeholders and dunnhumby specialists. Success in Tesco Media comes from building strong relationships across all three, bringing together retail scale, media capability and data‑led insight to deliver meaningful outcomes for customers and brands.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
Staff Java Full Stack Software Development Engineer
Share this job
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability.
Duties and Responsibilities:
- Design, develop, deploy, test, support technical solutions using full-stack development tools and technologies
- Design and develop user friendly, responsive web interfaces using modern web application frameworks
- Utilize programming languages like Java, SQL, Python (for the backend) and JavaScript, HTML/CSS (for the frontend)
- Should have expert level knowledge in RDBMS/SQL and NoSQL databases
- Deploy the micro services seamlessly using Container Orchestration services like Docker and Kubernetes, and a variety of AWS managed services and tools
- Adept at troubleshooting complex distributed systems and performance issues
- Should be a team player and excel in fast-paced agile environments
- Expecting a fast learner by keeping up with the latest trends and technologies in backend and front-end development.
Job Requirements:
- 8+ years of experience in Enterprise Java development
- 5+ Years experience with JavaScript (with modern UI frameworks like Angular, React or Vue.js)
- Extensive experience in SQL and NoSQL technologies
- Demonstrated experience in Caching, queuing, scheduling, concurrent and event-driven architectures
- Demonstrated experience of developing applications on/for Linux platforms
- Should have proven track record of implementing distributed systems and microservice architectures (RESTful APIs)
- Involved knowledge of best practices for implementing secure web applications
- Strong experience with AWS (preferred), Microsoft Azure, GCP and/or other clouds
- Experience with CI/CD pipelines and modern deployment techniques
Education:
- Bachelor's degree in computer science, Software Engineering, or Information Technology
Physical Demands and Work Environment:
- Sedentary work (i.e. sitting for long periods of time).
- Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
- Subject to inside environmental conditions.
- Travel for this position will include less than 10% locally usually for training purposes.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
07.Frontend Engineer
Share this job
About PayPay India
Why India ?
To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first technologies , we created and expanded the smartphone payment service in Japan. Therefore, we have decided to establish a development base in India, because it is a major IT country with many talented engineers, as evidenced by the fact that cutting-edge mobile payments can continue to be generated.
OUR VISION IS UNLIMITED
AI-First Culture at PayPay
Job Description
PayPay is looking for a Frontend Engineer to build and scale UI/Product experiences for our web applications. You’ll work closely with Product, Design, and Backend teams to deliver high-quality features, contribute to a growing design system.
Primary Responsibilities
- Deliver product features end-to-end: translate requirements into clean, scalable UI implementations with well-structured components and predictable data flow.
- Build reusable UI components and patterns: contribute to and extend our design system using tools like Storybook; prioritize consistency, accessibility basics, and developer ergonomics.
- Integrate APIs and handle real-world states: implement robust data fetching patterns (pagination, caching, retries), and manage loading/error/empty states with clear UX behavior.
- Write maintainable, modular code: apply good separation of concerns (presentation vs business logic vs API layer), meaningful abstractions, and clear naming; keep codebase easy to extend.
- Optimize performance and reliability: identify bottlenecks (rendering, network, bundle size), apply pragmatic improvements (memoization, debouncing, virtualization where relevant), and avoid async pitfalls (stale responses, race conditions).
- Improve engineering quality: participate actively in code reviews, raise the bar on standards, and help enforce best practices around testing strategy, i18n, and build tooling.
- Collaborate cross-functionally: work closely with PM/Design/Backend to clarify requirements, propose tradeoffs, and deliver iteratively with high ownership.
- Support operational excellence: use observability tooling (e.g., Sentry, New Relic, Kibana) to debug production issues, measure impact, and improve stability.
- Grow toward full-stack ownership (optional path): partner with backend teams and gradually take on BFF/API contributions using Node.js (NestJS/Express) as needed.
Tech Stack
Frontend: Typescript/Javascript , React/Vue, single-spa, Webpack, Jest, Storybook, i18n , micro-frontend
Middlewear : NestJS, Express
Infra/CI: AWS, Docker, Kubernetes, ArgoCD, Terraform, GitHub Actions, Jenkins
Obs/Analytics: Sentry, Kibana, New Relic, Google Analytics, Firebase
Qualifications
- 3 - 5 years of professional frontend development experience.
- Strong JavaScript fundamentals.
- Solid experience in React and/or Vue.
- Proven ability to write readable, modular, production-quality code.
- Strong problem-solving skills with practical DSA (web-relevant) comfortable reasoning about time/space complexity.
- Performance awareness: can identify bottlenecks and implement pragmatic optimizations.
- Ability to do low-level design (LLD) for frontend features: break down requirements into components/modules, define interfaces, and plan implementation in milestones.
- Good communication: can explain approach and tradeoffs clearly.
- Leverage AI/LLM based tools in daily workflows
Preferred Qualifications
- Experience with Nest.js (routing, SSR/CSR tradeoffs, data fetching strategies).
- Experience with Node.js or API integration patterns (REST, pagination, auth flows, error handling).
- Familiarity with design systems, accessibility basics, and responsive UI patterns.
- Exposure to frontend observability (error logging, basic performance metrics).
- Experience with micro-frontends (e.g., single-spa) or large-scale frontend architectures.
What success looks like
- You can independently deliver a feature end-to-end with clean architecture and reliable async handling.
- Your code is modular, maintainable, and performance-conscious.
- You contribute to consistent UI patterns and raise team quality through reviews and collaboration.
Remarks
＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.
PayPay 5 senses
- Please refer PayPay 5 senses to learn what we value at work.
Working Conditions
Employment Status
- Full Time
Office Location
- Gurugram (Wework)
※The development center requires you to work in the Gurugram office to establish the strong core team.
Ready to apply?
Apply to PayPay IndiaAbout Nanonets
Nanonets has a vision to help computers see the world starting with reading and understanding documents.Machine Learning (ML) is no longer a futuristic concept—it's a present-day powerhouse transforming the business landscape. Nanonets is at the forefront of this transformation, offering innovative ML solutions designed to make document related processes faster than ever before.
From automating data extraction processes to enhancing reconciliation, our solutions are designed to revolutionize workflows, optimize operations, and unlock untapped potential for our clients. Our client footprint spans across brands such as Toyota, Boston Scientific, Bill.com and Entergy to name a few enabling businesses across a myriad of industries to unlock the potential of their visual and textual data
We recently announced a series B round of $29 million in funding by Accel and are backed by the likes of existing investors including Elevation Capital & YCombinator. This infusion of capital underscores our commitment to driving innovation and expanding our reach in delivering cutting-edge AI solutions to businesses worldwide.
Read about the release here: Forbes | TechCrunch
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.
About the role
We’re looking for a technically strong, customer-facing problem solver to bridge product, engineering, and go-to-market teams. In this role, you’ll support the sales process by building tailored demos, validating technical requirements, and translating customer needs into practical workflows and solutions. You’ll work closely with Sales, Product, and Customer Success to ensure a smooth journey from discovery to onboarding, while also prototyping quick solutions to accelerate deal cycles.
What You’ll Do
- Build and customize high-impact customer demos by setting up tailored environments and workflows aligned to each prospect’s use case, including configuring agents, integrations, and realistic sample data.
- Partner closely with Sales on customer-facing calls to showcase technical capabilities, answer implementation questions, and translate product features into clear, customer-specific workflows and ROI narratives.
- Drive technical validation during discovery by deeply understanding customer requirements, assessing feasibility, and evaluating integration needs across systems such as EHRs, payer portals, telephony platforms, and APIs.
- Proactively identify edge cases, potential blockers, and any custom work required early in the sales cycle to ensure smooth downstream execution.
- Support activation and onboarding by collaborating with Activation/Customer Success and Product teams to deploy custom agents, configure workflows, fine-tune prompts, and assist with initial QA/UAT.
- Own rapid prototyping efforts by building lightweight workflows or custom solutions that help accelerate deal cycles and bridge gaps until fully productized features are available.
Required Qualifications -
- B.E/B.Tech or from a Tier 1 school.
- Minimum 2 years in a technical role.
Need to Have:
- Python
- Relational Database (any major DB)
- Understanding of APIs
- Git version control
- Excellent written & verbal communication skills
Good to Have:
- Experience with React, NodeJS, Golang, Cassandra, Kubernetes, Docker
- Exceptional verbal and written communication skills, including the ability to work with technical and non-technical audiences; as well as communicate effectively to individual contributors, management, and executive leadership.
- Strong communications skills, with the distinctive ability to empower and influence people without authority or a direct reporting relationship.
Ready to apply?
Apply to Nanonets
Your Impact
The Senior Software Engineer is responsible for project subsystems. They lead epics/initiatives, mentor more junior engineers, and contribute to architectural
decisions. They have a substantial impact on their team and, at times, across teams. They design and develop high-quality, scalable, and innovative software solutions in a SaaS environment, utilising cutting-edge technologies and methodologies, and ensuring they meet the current and future needs of the business and its customers
What You'll Do
- Technical Leadership and Mentorship: Provides technical leadership in project teams, mentors and guides more junior engineers, and contributes to technical decision-making.
- Performance Optimisation: Focuses on designing systems for high performance, scalability, and reliability.
- Stakeholder Engagement: Works with stakeholders, including product managers, designers, developers, and executives, to align architectural designs with business needs and customer expectations.
- Proficient Software Development: Designs, develops, and maintains sophisticated software solutions, ensuring they are efficient, scalable, and meet business requirements with architectural excellence. Responsible for System Design & Grooming for features for a subsystem.
- Code Quality and Optimisation: Upholds and enhances code quality through rigorous review processes, optimisation techniques, and adherence to best practices.
- Technical Problem Solving: Tackles complex technical challenges, employing a problem-solving approach with innovative solutions.
- Collaboration and Communication: Works effectively within the engineering team and cross-functional teams, collaborating with other engineering teams, product managers, and stakeholders, contributing to project planning and execution.
- Continuous Learning and Adaptation: Stays updated with the latest technology trends and advancements, continually enhancing skills and knowledge, bringing innovative ideas to the team
- Technical Documentation: Creates and maintains comprehensive technical documentation, ensuring clarity and accessibility of information.
- Data Platform Development: Designs, builds, and maintains scalable and robust data platforms to support analytics, machine learning, and business intelligence.
- Data Integration and ETL: Develops and optimises ETL (Extract, Transform, Load) processes and data integration pipelines. Ensure efficient data flow across various sources and systems
- Advanced File Processing: Develops extensible file processing pipelines that offer free self-service artefact generation. Researches and evaluates file processing software based on fidelity, reliability, and performance criteria. Models file processing outcomes within the observability framework to provide insights for engineering teams and business leaders. Develops engineering systems that facilitate rapid and minimally manual evaluation of file processor
- Data Management: Orchestrates scale-out data pipelines that optimise serverless and containerised compute to balance cost, latency, and duration. Contributes to algorithmically intensive data engines operating on streaming, large, or multi-tenant datasets. Troubleshot systems, identified root causes, and rectified bugs.
Who You Are
- 7-10 years of experience in software development, with a demonstrated track record in SaaS or similar environments.
- 5+ years of professional experience with each of the following: Service Oriented Architecture, Docker-based services, micro-services, API and Data Model Design or Implementation;
- Experience in playing key roles (for example: development, testing, design, product interfacing, etc) in significant software projects, showing an ability to work effectively both independently and as part of a team. Other preferred experience for the position, including length and in what capacity (e.g., operational, management level).
- Experience with developing and maintaining large-scale, high-availability software systems
- Experience with gRPC and Protocol Buffers for efficient, language-agnostic service-to-service communication
- Experience with designing and developing from a Security Perspective
- Experience selecting and extending 3rd party components (commercial or open source) that provide operational leverage
- Experience with Continuous Integration and Continuous Deployment (CI/CD) with an emphasis on a well-maintained testing pyramid
- Experience with Agile development methodologies and practices.
- Experience using feature or release toggles as a code branching strategy
- Experience with Contract-first designing and negotiating with other systems
- Experience contributing to technical documentation
Even Better If You Have...
Key 3-5 specific skills or knowledge required
- Knowledge of ElasticSearch, NoSql Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems
- Knowledge of Design, implementation, and operation of data-intensive distributed systems
- Understanding of microservices design patterns and principles, with experience in developing microservices using containerized tools like Docker
- Knowledge of system architecture, design patterns, and best practices in software development.
- Skilled in designing and operating software in a Cloud Provider, such as AWS, Azure, or GCP
- Skilled in cloud-based data storage, such as: Relational Databases, NoSQL Stores, data caches, etc.
- Skilled in analytical abilities and problem-solving, capable of addressing complex technical challenges.
- Ability to adapt to new technologies and methodologies, and a mindset geared towards innovation and continuous improvement.
- Effective communication and teamwork skills, essential for working in a dynamic and collaborative environment with various stakeholders and team members.
- Skilled in programming languages and frameworks commonly used in SaaS development. In particular, Java/Kotlin, Python, C#.
- Skilled in designing and developing APIs (including gRPC, GraphQL, and REST), basic understanding of HTTP/HTTPS protocols, and proficiency in API documentation.
- Familiarity with server management, network configurations, and an understanding of cloud services (like AWS, Azure, or Google Cloud).
- Knowledge of various stages of the SDLC, including design, development, testing, and deployment.
Perks of DISCO
- Open, inclusive, and fun environment
- Benefits, including medical and dental insurance
- Competitive salary plus discretionary bonus
- Opportunity to be a part of a startup that is revolutionizing the legal industry
- Growth opportunities throughout the company
About DISCO
DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters.
At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve outcomes, and continuously evolve how they operate in their role.
Are you ready to help us fulfill our mission to use technology to strengthen the rule of law? Join us!
We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Ready to apply?
Apply to DISCO
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
Retail Media is transforming how advertisers connect with consumers through personalized and targeted campaigns across retailers' digital and physical touchpoints.
Retail Media Measurement plays a pivotal role in ensuring the effectiveness of these campaigns, driving value for advertisers, retailers, and consumers alike
Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their customers. With deep heritage and expertise in retail – one of the world’s most competitive markets, with a deluge of multi-dimensional data – dunnhumby today enables businesses all over the world, across industries, to be Customer First.
Dunnhumby helps retailers and brands deliver better experiences through Customer First strategies.
We are seeking a talented Lead Engineer with .NET expertise to lead development of a product that help Retailers transform their Retail Media business in a way that helps them achieve maximum ad revenue and enable massive scale.
As a Lead Engineer, you will play a pivotal role in designing and delivering high-quality software solutions.
You will be responsible for contributing to system architecture and ensuring adherence to engineering best practices. Your technical expertise, leadership skills, and ability to drive results will be key to the success of our products.
What will you be doing?
You will design and deliver .NET Core solutions within microservices architecture, ensuring adherence to compliance, security, and quality standards. Implement best practices in coding, CI/CD, and DevOps while balancing delivery timelines with technical excellence. Conduct regular performance reviews, provide actionable feedback, and drive innovation through continuous improvement and process enhancements. Focus on improving developer productivity and coaching junior team members to achieve their full potential. You will collaborate with product managers and architects to define technical roadmaps.
What would you need to be successful in the role?
- Experience 9+years
- Proven experience leading technical teams and delivering complex projects.
- Strong understanding of object-oriented programming, data structures, and algorithms.
- Possess strong technical expertise in C#, .NET Core and experience building RESTful APIs with a deep understanding of design patterns, SOLID principles, system design, and engineering best practices.
- Strong experience designing distributed systems using microservices and event-driven architecture
- Familiar with microservices and event-driven architecture using tools like RabbitMQ , Google Pub/Sub and Kafka, as well as containerization technologies such as Docker and Kubernetes.
- Hands-on experience with:
- Docker and Kubernetes (K8s)
- Cloud platforms (GCP / Azure / AWS)
- Relational databases (Postgres preferred) and analytical databases (BigQuery preferred)
- Testing Framework (Xunit / NUnit/ Cypress)
- Experienced in using DevOps tools like GitLab CI/CD and leveraging cloud platforms, particularly GCP or Azure, for scalable solutions.
- Additional knowledge of Redis, and Elasticsearch is an advantage
- Demonstrate a deep understanding of distributed systems, cloud-native applications, and Unix/Linux environments, alongside expertise in testing strategies, code quality, and secure coding tools like SonarQube and Checkmarx.
- Proficiency with version control systems like Git
- Adept at utilizing observability tools like New Relic to monitor systems, with solid knowledge of SDLC, Agile methodologies, and strong interpersonal and leadership skills to effectively motivate teams.
- Familiarity with the AdTech or Retail domain is an added advantage
- Work experience preferably in a product company
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
At Leapwork, we are at the center of the most important shift happening in enterprise software right now, with AI changing how software is built across every industry and every enterprise. We sit at this intersection, and what makes us different is the combination no one else brings: agentic, application agnostic, and deterministic by design across the full software delivery lifecycle.
We are trusted by some of the world's most respected brands across financial services, pharma, manufacturing, and retail. Our platform spans agentic AI orchestration and proven visual automation across every application estate. Our AI Your Way™ approach means we amplify what enterprises already have rather than replacing it, meeting them where they are and moving at the pace the business demands.
Backed by KKR, DN Capital, Salesforce Ventures, and Headline, we are scaling fast and the market opportunity in front of us is significant.
If you want to do the best work of your career at a company where the product is genuinely mission critical to our customers, we would love to talk. We are headquartered in Copenhagen, Denmark with offices in Boston, London, and Gurgaon and local presence across the United States, Europe, and Asia.
The role:
As a Software Engineer, you will work in a fast-paced, team oriented environment using Agile methodologies. You are experienced with Microsoft. You are great at keeping an eye on the product vision and key challenges, and you are able to develop a high-quality production code.
You should have a cloud first mindset and you should build for failures
Role Responsibilities:
- Design, Develop, Test and maintain software systems as per the definition of done.
- Collaborate with team members and follow best practices for software development.
- Participate in requirement analysis and create technical documentation.
- Contribute to ongoing optimization of internal methods, processes, and systems.
- Collaborate with DevOps teams to automate the deployment process.
- Monitors troubleshoot application performance, making improvements as needed.
Technical Qualifications/ Role Requirements (Must - Have Skills)
- At least 3 years of experience as a professional software developer in commercial projects and production systems with a strong track record.
- Strong development experience with Microsoft .NET technologies (including the latest versions .NET 6, .NET 7).
- Strong understanding of asynchronous and parallel programming.
- Experience with coding languages such as Javascript, TypeScript, GraphQL, and NodeJS.
- Experience with cloud technologies such as Azure and AWS.
- Experience in deployment platforms like Docker, Kubernetes etc.
- Experience with Microsoft SQL Server and other enterprise database types
Why Leapwork?
We are on an exciting global growth journey, and this is your chance to jump on board and contribute to digital transformation initiatives at Leapwork. You’ll work alongside and learn from a talented and passionate team committed to both innovation and excellence.
By joining our team, you’ll be part of an international environment where you can grow, challenge yourself, and do what inspires you. We work hard but have fun while doing it.
Leapwork Principles:
Our three core principles capture the essence of what it means to be part of our world-class team! They are integral to how we approach our work and one another, and they serve as a roadmap to our continued growth, development, achievements, and success.
People First: Strong relationships with our customers, partners, and team are the foundation of our success. We win by listening, understanding, and offering empathy and respect to everyone we engage with. We are human and act humane.
Grow or Die: Standing still is not an option. We adapt to change and drive it forward. We challenge ourselves and others to keep learning, share ideas, and find new ways to grow the business.
Speed Matters: We act with intent and urgency. We cut complexity, seize opportunities, and deliver results fast.
Ready to apply?
Apply to LeapworkJob Title: Python Developer
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Job Description:
-
About the Role
In this role, you will have the opportunity to work on complex and challenging projects that have a direct impact on our business. You will collaborate with stakeholders across the organisation to identify business needs and develop technical solutions that drive results. Your expertise in fullstack development, data science, and financial markets will enable you to make a significant contribution to our team and help drive business success.
Key Responsibilities
- Develop and implement fullstack applications that automate and streamline processes, improving efficiency and reducing risk.
- Develop and Manage backend systems primarily using Python, with additional capabilities in Java and other languages.
- Develop and manage frontend applications primarily using React and Next.js, with additional capabilities in JavaScript and other frameworks.
- Design and implement core backend services and systems to serve other applications using high performance programming languages such as java.
- Demonstrate a strong ability to understand and apply software architecture patterns, including microservices and event-driven architecture, to design robust and scalable solutions.
- Work closely with cross-functional teams to design and implement solutions that meet business requirements and goals.
- Communicate complex technical concepts to non-technical stakeholders, including business leaders and external partners.
- Rapid response to issues as they arise, with the ability to drive quickly to the heart of an issue and propose appropriate solutions.
- Manage work and processes across multiple sites.
- Maintain discipline in coding practice while ensuring timely delivery of end solutions.
Technical Expertise
- Proficiency in Python is required, with familiarity in other programming languages such as Java, C++, Go, Rust, and others being advantageous.
- Strong understanding of software architecture patterns, including microservices and event-driven architecture.
- Familiarity with containerisation using Docker, and experience with container orchestration tools such as Kubernetes.
- Strong understanding of software development lifecycle methodologies and experience with DevOps and CI/CD pipelines.
- Experience with frontend technologies, including React and Next.js, and JavaScript.
- Familiarity with data science and analytics techniques, including machine learning and statistical modelling.
- Experience with database management systems, including relational and NoSQL databases.
- Experience with Dash or other UI frameworks is a nice to have.
Ready to apply?
Apply to CapcoSenior Java Backend Developer - Bgl/Gur
Share this job
Location - Bangalore
Experience - 10 +yrs
Skills and Qualifications:
Experience in backend development with a strong focus on Java, Microservices ,Spring boot, Kafka and TDD.
Specialization in building Java Spring Boot microservices and integrating with databases, message brokers, api-gateways
- Good knowledge of fundamentals with hands-on experience in Java (Desirable for candidate to have knowledge on latest versions - Java 17 or later)
- Good Sql fundamentals and data persistence frameworks (For eg JPA, Hibernate, Spring Data JDBC, Jooq etc)
- Knowledge on database index optimization (for eg PostgreSQL) ensuring performance efficiency
- Good hands-on experience with Kafka, containerization technologies(For eg Docker), and Kubernetes
- Good hands-on experience with memory leak identification and performance tuning java microservices
- Test-driven development (Code Coverage / CI - Integration / CI - Acceptance / CI - Performance) experience and knowledge of automated test frameworks and tools
- Proven expertise in engineering scalable, robust and high-performance applications in on-prem and public cloud
- Good experience in drafting API design, building rest apis and good understanding of http, messaging protocols (JMS, Kafka etc)
- Good to have knowledge on integrating with aws services (For eg S3, SQS, SNS, Lambda etc)
- Knowledge of Infra as code tools like Terraform(Desirable)
Roles and Responsibilities
- Highly skilled engineer, specializing in building Java Spring Boot microservices and integrating with databases, message brokers, api-gateways etc
- Building high quality code, conducting code reviews, and ensuring adherence to best practices.
- Test-driven development experience and knowledge of automated test frameworks and tools
- Proven expertise in engineering and building scalable, robust, and high-performance applications in on-prem and public cloud
- Good hands-on experience with PostgreSQL, Kafka, containerization technologies, and Kubernetes. Experience on integrating with aws services is good to have
- Good experience on drafting API design, building rest apis and good understanding of http and other messaging protocols (JMS, Kafka etc)
Ready to apply?
Apply to Capco03.QA Automation Engineer
Share this job
About PayPay India
Why India ?
To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first technologies , we created and expanded the smartphone payment service in Japan. Therefore, we have decided to establish a development base in India, because it is a major IT country with many talented engineers, as evidenced by the fact that cutting-edge mobile payments can continue to be generated.
OUR VISION IS UNLIMITED
AI-First Culture at PayPay
Job Description
PayPay India is looking for a QA Automation Engineer to enhance our payment systems and deliver the best customer experience.
Main Responsibilities
- Utilizing the Testing Methodology, analyzes testing requirements as the basis for developing testing scenarios for a test level to be executed on a project.
- Design, create and review test cases based on specifications. Maintain and update test cases.
- Prepare test data, tools, and environment needed for test execution.
- Execute tasks related to the production of the test cases, test scripts, and test data.
- Execute Functional and Non-Functional tests.
- Report found defects, track status of reported defects, and verify fixes.
- Support knowledge management and collaboration through participation in testing discussions, communities and improving testing collateral through lessons learned.
- Provide trainings and instructions to newcomers.
- Serve as SME (Subject Matter Expert) in responsible areas. Develop and provide domain knowledge to support other QA engineers and developers
Required Skills and Experiences
- At least 4 -8 years of QA Engineer or QA Leader experience.
- Ability to understand and analyze technical specifications. Experience in designing and creating test cases.
- Strong knowledge of QA methodology and QA tools, such as ALM, TestRail, TestLink, QASymphony, etc
- Hands-on Experience in Agile Scrum and Waterfall Software Development Lifecycle.
- Minimum 2 or more years of experience in running and maintaining automated test cases for mobile apps, web apps, or APIs.
- Professional experience in using one of following frameworks/tools - Appium for mobile apps , Selenium for web-based apps, or unirest/Rest Assured for API’s.
- Well versed in using Continuous Integration and Continuous Development tools, like Jenkins/Bitrise or any other.
- Experience in writing SQL, Java, or C# to develop automation frameworks to perform UI, API and backend database testing.
- Experience in creating complex SQL queries to verify results of testing.
- Strong organizational and problem solving skills with attention to detail, Self-driven and proactive, team worker, open-minded, and good communication style.
Preferred Qualifications
- ISTQB or equivalent certificate
- Experience in testing mobile applications (Android and iOS).
- Experience in working with microservices
- Experience in Docker and Kubernetes.
- Experience in working under a fast-paced development environment in IT/Web industry (experience of Agile development is a plus).
- Experience in developing the standardization of QA process and methodology, and/or proposing improvement in QA processes
- Experience in proposing and introducing new QA tools in the test process.
- Experience in the development or QA of systems in the financial and/or payment sector.
- Experience in running performance tests using Gatling/Wrk/Jmeter.
- Experience in bash or other CLI scripting
- Curiosity and passion about learning new technologies is a definite plus
- Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.
Remarks
＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.
PayPay 5 senses
- Please refer PayPay 5 senses to learn what we value at work.
Working Conditions
Employment Status
- Full Time
Office Location
- Gurugram (Wework)
※The development center requires you to work in the Gurugram office to establish the strong core team.
Ready to apply?
Apply to PayPay India02.Senior Backend Engineer
Share this job
About PayPay India
Why India ?
To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first technologies , we created and expanded the smartphone payment service in Japan. Therefore, we have decided to establish a development base in India, because it is a major IT country with many talented engineers, as evidenced by the fact that cutting-edge mobile payments can continue to be generated.
OUR VISION IS UNLIMITED
AI-First Culture at PayPay
Job Description
PayPay India is looking for a Senior Backend engineer to work on our payment system to deliver the best payment experience for our customers.
Main Responsibilities
- Design large scale systems with high complexity to support our high throughput applications.
- Understand how to leverage infrastructure for solving such large scale problems.
- Develop tools and contribute to open source wherever possible.
- Adopt problem solving as a way of life – always go to root cause! Support the code you write in production.
- [Extra requirements depending on the potential team it has been identified]
Tech Stack
We select the best combination of tech at times.
| Java, Kotlin, Scala
| Spring Boot, JUnit, Reselience4j, Feign
| MySQL/AuoraDB, DynamoDB, ELK, Kafka, Redis, TiDB
| Docker, Kubernetes, ArgoCD, AWS, GCP
| GitHub, IntelliJ, Gradle, Maven, npm/yarn, Flyway, Jenkins, snyk,
| Bigquery, Kibana, Spark
| PlantUML, draw.io, miro.com
| Slack, Zoom
Qualifications
- 6+ years of experience having excellent skills in Java & any other generalized programming language, such as Scala, Python, or Go.
- Interest and ability to learn other coding languages as needed.
- Experience with SQL and NoSQL databases, along with distributed cache.
- Strong fundamentals in data structures, algorithms and object oriented programming.
- In-depth understanding of concurrency and distributed computing.
- Experience implementing platform components such as RESTful APIs, Pub/Sub Systems, and Database Clients.
- Experience with microservices.
- Experience designing high traffic systems.
- Degree in Computer Engineering or Computer Science or 5+ years equivalent experience in SaaS platform development.
- Business of English or Japanese
- [Extra requirements depending on the potential team it has been identified]
Preferred Qualifications
-
- Experience in working for system development in finance, payment, or similar industries.
- Language ability in Japanese and English is a plus (We have a professional translator but it is nice to have language skills).
- Experience with AWS services.
- Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.
- [Extra requirements depending on the potential team it has been identified]
Remarks
＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.
PayPay 5 senses
- Please refer PayPay 5 senses to learn what we value at work.
Working Conditions
Employment Status
- Full Time
Office Location
- Gurugram (Wework)
※The development center requires you to work in the Gurugram office to establish the strong core team.
Ready to apply?
Apply to PayPay IndiaInovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
About Us:
Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. Our mission is to leverage cutting-edge technology to improve health outcomes and streamline healthcare processes. We are seeking a highly skilled Senior Machine Learning SDET to ensure the quality, reliability, and safety of our ML-powered healthcare products.
Job Description:
As a Senior Machine Learning SDET, you will be responsible for designing, implementing, and maintaining robust testing frameworks and quality strategies for machine learning systems across their entire lifecycle. You will collaborate closely with data scientists, ML engineers, software engineers, and product managers to validate models, data pipelines, and ML-driven services in production environments. Your work will help ensure that our ML solutions are accurate, performant, secure, and compliant with healthcare standards, ultimately improving patient care and operational efficiency.
Key Responsibilities:
- Test Strategy for ML Systems: Define and own the end-to-end test strategy for ML models, data pipelines, and services, including functional, performance, regression, and reliability testing.
- ML Model Validation: Design automated tests to validate model behavior (e.g., accuracy, drift detection, bias, stability, and robustness) across training, staging, and production environments.
- Data Quality & Pipeline Testing: Build automated tests and monitoring for data pipelines to ensure schema integrity, data completeness, data freshness, and correctness for training and inference.
- Test Automation Frameworks: Develop and maintain scalable test automation frameworks and tools for APIs, microservices, and ML workflows, integrating them into CI/CD pipelines.
- Performance & Scalability: Design and execute load and performance tests for ML inference services and batch jobs, focusing on latency, throughput, and resource utilization.
- Monitoring & Observability: Collaborate with ML and platform engineers to implement monitoring, logging, and alerting for ML systems, including model performance and data drift.
- Shift-Left Quality: Embed quality practices early in the ML development lifecycle, including testable model design, test data generation, and automated validation in CI.
- Tooling & Infrastructure: Leverage and extend existing tools (e.g., Python test frameworks, cloud services, containerization, big data tools) to support robust ML testing.
- Collaboration: Work closely with cross-functional teams to understand business and regulatory requirements and translate them into verifiable test scenarios and acceptance criteria.
- Mentorship: Provide guidance and mentorship to engineers on best practices for testing ML and data-intensive systems, fostering a culture of quality and continuous improvement.
Qualifications:
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field; Ph.D. is a plus.
- Experience: Minimum of 5 years of experience in software test engineering or SDET roles, with at least 3 years focused on testing machine learning, data, or distributed backend systems in production.
Technical Skills:
- Strong proficiency in Python and testing frameworks such as pytest, unittest, or similar, with experience testing ML code and data pipelines.
- Hands-on experience with ML libraries and ecosystems (e.g., TensorFlow, PyTorch, scikit-learn) sufficient to design model validation and testing strategies.
- Hands-on experience with generative AI concepts (LLMs, RAG, vector databases, prompt engineering, and transfer learning) and their testing implications is a strong plus.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes) for deploying and testing ML services.
- Strong knowledge of data structures, algorithms, and software engineering best practices, including code reviews, version control, and CI/CD.
- Experience building and integrating automated tests for REST/gRPC APIs and microservices, including contract and integration testing.
- Experience with performance and load testing tools and techniques for backend and ML inference services.
- Experience with observability and monitoring tools (e.g., Prometheus, Grafana, ELK, or cloud-native equivalents) for tracking model and system health.
Domain Knowledge:
- Understanding of healthcare data standards (e.g., HL7, FHIR) and regulations (e.g., HIPAA) is a plus.
- Experience testing systems in regulated, high-compliance, or safety-critical environments is highly desirable.
Soft Skills:
- Excellent problem-solving and analytical skills, with a strong focus on edge cases, failure modes, and risk assessment.
- Strong communication and collaboration abilities, with comfort working across ML, data, product, and platform teams.
- Ability to work independently and as part of a team in a fast-paced environment, balancing quality, speed, and pragmatism.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work on impactful ML-driven healthcare products that improve patient outcomes and operational efficiency.
- Collaborative and innovative work environment.
- Professional development and growth opportunities in ML quality engineering and SDET leadership.
- Flexible work arrangements, including hybrid and remote options.
Join us in ensuring that cutting-edge AI and machine learning solutions are not only powerful but also safe, reliable, and trustworthy in healthcare. We look forward to hearing from you.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
Ready to apply?
Apply to Inovalon
Staff Machine Learning Engineer
Share this job
About AiDASH
AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com.
We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.
Join us in Securing Tomorrow!
The Role
We’re looking for a seasoned Staff Machine Learning Engineer to shape and scale the backbone of our production ML ecosystem. In this role, you will architect high-performing ML systems that power our geospatial intelligence platform, transforming large-scale satellite and aerial imagery into actionable insights. You’ll lead end-to-end ownership—from model deployment and MLOps to infrastructure design—while partnering closely with data science, platform engineering, and product teams to deliver reliable, scalable, and cost-efficient ML solutions. If you thrive at the intersection of deep technical expertise, system design, and cross-functional collaboration, this role is for you.
How you'll make an impact:
ML System Architecture & Production Deployment
- Design, build, and maintain end-to-end ML pipelines for batch processing of satellite and aerial imagery
- Deploy and scale ML models in production on AWS infrastructure, leveraging services like SageMaker, Bedrock,or custom-built solutions
- Implement MLflow for experiment tracking, model versioning, and model registry management
- Architect batch inference systems optimized for throughput and cost-efficiency
- Work with geospatial data formats and coordinate reference systems
- Collaborate with data scientists to transition models from research to production
- Partner with platform engineering to build scalable compute, GPU clusters, and storage layers
ML Operations & Reliability
- Implement comprehensive model monitoring systems to track performance degradation and data drift
- Design and execute canary deployments and A/B testing frameworks for safe model rollouts
- Build active learning pipelines to continuously improve model performance with minimal labeling effort
- Establish model evaluation frameworks and performance benchmarking processesCreate alerting and observability systems for production ML workloads
Technical Leadership
- Mentor ML engineers and data scientists on best practices for production ML
- Drive technical decision-making on ML infrastructure and tooling
- Collaborate with platform and data engineering teams to optimize the ML stack
- Establish engineering standards and contribute to architectural roadmaps
What we’re looking for:
- 5+ years of experience in machine learning engineering with 2+ years in a senior or lead capacity
- Proven track record deploying and maintaining ML systems in production using AWS services (SageMaker,Lambda, ECS/EKS, S3, etc.)
- Strong hands-on experience with tools like MLflow, WandB, or similar for experiment tracking and model management
- Deep expertise in image segmentation and computer vision techniques using frameworks like PyTorch or TensorFlow
- Production experience with ensemble models (xgboost, lightgbm, RF)
ML Operations Expertise
- Experience implementing model monitoring, drift detection, and alerting systems
- Hands-on experience with canary deployments, A/B testing and Shadow deployments for ML models
- Knowledge of active learning strategies and human-in-the-loop ML systems
- Strong understanding of model evaluation metrics, bias detection, and performance analysis
Technical Skills
- Expert-level Python programming with ML libraries (scikit-learn, PyTorch/TensorFlow, NumPy, pandas, etc)
- Experience with distributed batch processing frameworks (Airflow, Step Functions, Argo Workflows, Spark,Dask, Ray or similar)
- Proficiency with AWS ML ecosystem and infrastructure-as-code (Terraform, CloudFormation)
- Hands-on experience with dataset versioning tools such as DVC, LakeFS, Delta Lake, Quilt, or Pachyderm
- Strong software engineering fundamentals: unit/integration testing, CI/CD, version control, observability, designpatterns
- Experience with containerization (Docker, Kubernetes) for model deployment
- Good to have experience with ML Orchestration tools like Kubeflow, Vertex AI, etc
- Nice to have experience with GPUs: scheduling GPU jobs, optimizing GPU performance, memory profiling
We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.
Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/
Ready to apply?
Apply to AiDASH, Inc.
SDE 3 - Platform
Share this job
About AiDASH
AiDASH is an enterprise AI company and the leading provider of vegetation risk intelligence for electric utilities. Powered by proprietary VegetationAI™ technology, AiDASH delivers a unified remote grid inspection and monitoring platform that uses a SatelliteFirst approach to identify and address vegetation and other threats to the grid. With a prevention-first strategy to mitigate wildfire risk and minimize storm impacts, AiDASH helps more than 140 utilities reduce costs, improve reliability, and lower liability across their networks. AiDASH exists to safeguard critical utility infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com.
We are a Series C growth company backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.
Join us in Securing Tomorrow!
The Role
As a SDE - 3 Platform Engineer at AiDASH, you’ll design, develop, and deploy scalable distributed systems that power our AI-driven platforms. You will build robust backend services, automated data pipelines, and analytical tools to deliver actionable insights for business-critical decisions. Partnering with product, data, and design teams, you’ll own solutions end-to-end — from system design to production deployment. Your expertise in microservices, Python, SQL/NoSQL, and cloud-native technologies (AWS, Docker, Kubernetes) will help evolve our architecture as we scale. Beyond coding, you’ll drive engineering excellence through code reviews, refactoring, and performance optimization, while mentoring peers and fostering reusable, reliable system design. If you thrive in solving complex challenges, love automation, and want to shape systems that make industries climate-resilient, this role is for you.
How you'll make an impact:
-
Design, develop and deploy scalable distributed systems
-
Build scalable backend systems to support internal workflows backed by automated pipelines and ML models
-
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics
-
Implement scalable and resilient distributed systems, ensuring fault tolerance and reliability
-
Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues
-
Deploy code to production and engage in code reviews
-
Refactor service to improve code quality, runtime efficiency and resource optimisation
-
Build tools that improve engineering productivity
-
Become in-house experts and provide consultation to product engineers to help them build scalable and reliable systems
-
Evolve AiDASH architecture as we continue to scale
-
Monitor, analyze, and optimize system performance and resource utilization
-
Stay updated with the latest advancements in distributed systems technologies and methodologies
What we're looking for:
Technical Expertise
-
6+ years of experience designing and building scalable, reusable platforms/components
-
Strong in system design & microservices, distributed systems, and API development
-
Solid foundation in data structures & algorithms
-
Hands-on expertise in Python (backend, data workflows), Spark/Big Data, Airflow and Snowflake (Good to have)
-
Strong with SQL/NoSQL (PostgreSQL, MySQL, MongoDB)
-
Experienced in RESTful API design, development, and maintenance
-
Proficient with cloud platforms (AWS), containers (Docker, Kubernetes)
Engineering Maturity
-
Strong debugging and optimization skills — load testing, profiling, bottleneck resolution
-
Familiar with backend security (encryption, authN/authZ, compliance)
-
Experience in CI/CD, unit testing, code coverage, and ensuring production readiness
-
Focus on scalability, reliability, and cost-efficient systems
Collaboration & Leadership
-
Works well cross-functionally to build reusable platform capabilities
-
Mentors peers, reviews with architectural thinking
-
Can break down complex product requirements into platform abstractions
Mindset & Growth
-
Thrives in fast-paced environments, balancing delivery with long-term vision
-
Curious and open to exploring new tech (e.g., AI-powered workflows
-
Bias for automation and building self-service, reusable solutions
We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.
Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/
Ready to apply?
Apply to AiDASH, Inc.
01.Backend Engineer
Share this job
About PayPay India
Why India ?
To build our Payment services, we got technical cooperation from Paytm (A large payment service company in India). And based on their customer-first technologies , we created and expanded the smartphone payment service in Japan. Therefore, we have decided to establish a development base in India, because it is a major IT country with many talented engineers, as evidenced by the fact that cutting-edge mobile payments can continue to be generated.
OUR VISION IS UNLIMITED
AI-First Culture at PayPay
Job Description
PayPay India is looking for a Backend engineer to work on our payment system to deliver the best payment experience for our customers.
Main Responsibilities
- Design large scale systems with high complexity to support our high throughput applications.
- Understand how to leverage infrastructure for solving such large scale problems.
- Develop tools and contribute to open source wherever possible.
- Adopt problem solving as a way of life – always go to root cause! Support the code you write in production.
Tech Stack
We select the best combination of tech at times.
| Java, Kotlin, Scala
| Spring Boot, JUnit, Reselience4j, Feign
| MySQL/AuoraDB, DynamoDB, ELK, Kafka, Redis, TiDB
| Docker, Kubernetes, ArgoCD, AWS, GCP
| GitHub, IntelliJ, Gradle, Maven, npm/yarn, Flyway, Jenkins, snyk,
| Bigquery, Kibana, Spark
| PlantUML, draw.io, miro.com
| Slack, Zoom
Qualifications
- 4+ years of Experience in using Java under professional environment, or if you are non-Java user, excellent skills in generalized programming languages, such as Scala, Python and Go.
- Interest and ability to learn other coding languages as needed.
- Experience with NoSQL databases and distributed cache.
- Strong fundamentals in data structures, algorithms and object oriented programming.
- In-depth understanding of concurrency and distributed computing.
- Degree in Computer Engineering or Computer Science or 5+ years equivalent experience in SaaS platform development.
- Business of English or Japanese
Preferred Qualifications
- Experience with implementing platform components such as RESTful APIs, Pub/Sub Systems, Database Clients.
- Experience with AWS services.
- Experience in working for system development in finance, payment, or similar industries
- Experience in system design, development of web system which handles massive amount of transactions or requires scalability
- Experience in microservices
- Leverage AI/LLM-based tools in daily workflows (e.g., code development, reviews, testing, debugging, documentation), while ensuring human oversight, judgment, and accountability drive the final product.
Remarks
＊Please note that you cannot apply for PayPay (Japan-based jobs) or other positions in parallel or in duplicate.
PayPay 5 senses
- Please refer PayPay 5 senses to learn what we value at work.
Working Conditions
Employment Status
- Full Time
Office Location
- Gurugram (Wework)
＊The development center requires you to work in the Gurugram office to establish the strong core team.
Ready to apply?
Apply to PayPay IndiaYour Impact
The Principal Software Engineer shapes and evolves our architecture using Distributed Domain Driven Design practices, ultimately ensuring the robustness and scalability of our systems. They influence architectural directions, and through project-embedded consultation. They guide teams to leverage best practices and design patterns.
What You'll Do
● Architecture Leadership: Drives the definition and evolution of our architecture using Distributed Domain Driven Design practices. Acts as the strategy leader for key Architecture Quality Attributes (e.g., Availability, Performance, Scalability, Securibility) to inform architecture assessments. Provides project-embedded architecture consultation to promote best Practices, design patterns, and informed buy vs. build decisions.
● Platform Capability Enhancement: Contributes to the prioritization of platform capability improvements across feature and data platforms. Enhances the capture and communication of architecture descriptions through automation and innovative tools. Shepherds platform-wide strategies, including naming, protocol standards, and design patterns, to ensure ongoing value creation.
● Effective Communication: Communicates complex technical concepts effectively in both written and spoken forms, catering to both technical and non-technical audiences. Collaborates with stakeholders to build consensus when necessary, ensuring alignment on architectural decisions.
Who You Are
● 15+ years of relevant experience
● Experience with high volume distributed technical architectures with a high cost of failure, i.e. focus on reliability and availability
● Experience with some amount of ‘Big Data’ technologies such as: ElasticSearch, NoSQL Stores, Kafka, Columnar Databases, DataFlow or Pipeline Systems, Graph DataStores
● Experience with leveraging common infrastructure services like Enterprise Message Bus platforms, configuration services, Toggle management systems, and observability systems like Logging and Distributing Tracing Systems
● Experience with Domain Driven Design concepts and practices such as bounded contexts, event storming, specification by example, etc.
● Experience with design, implementation, and operation of data-intensive, distributed systems
● Ability to design and communicate external and internal architectural perspectives of well-encapsulated systems (e.g. Service Oriented Architecture, Docker-based Services, micro-services) using patterns and tools such as Architecture/Design Patterns and Sequence Diagrams
● Skilled using Continuous Integration and Continuous Deployment (CI/CD) with an emphasis on automation tools like Terraform, Jenkins, CodePipeline.
● Knowledge of API / Data Model Design and Implementation, including how to scale out, make highly available, or map to storage systems
● Knowledge of multiple software stacks
● Skilled with designing and operating software in a Cloud Provider such as AWS, Azure, or GCP
● Knowledge about algorithm development for intensive pipeline processing systems
● Possesses an understanding of how to design and develop from a security perspective
● Possesses an understanding of how to identify, select, and extend 3rd party components (Commercial or Open Source) that provide operational leverage but do not constrain product and engineering creativity
Even Better If You Have...
● Experience designing, modifying, and operating multi-tenant systems
● Experience using feature or release toggles as a code branching strategy
Perks of DISCO
- Open, inclusive, and fun environment
- Benefits, including medical and dental insurance
- Competitive salary plus discretionary bonus
- Opportunity to be a part of a startup that is revolutionizing the legal industry
- Growth opportunities throughout the company
About DISCO
DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments. Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters.
At DISCO, we believe AI is a core enabler of how work gets done. All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve outcomes, and continuously evolve how they operate in their role.
Are you ready to help us fulfill our mission to use technology to strengthen the rule of law? Join us!
We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Ready to apply?
Apply to DISCO