Some of the key responsibilities of this role include:

• Partnering with Product and Engineering to ensure that our application is designed and developed securely
• Participating in the implementation efforts, doing security reviews, helping with product design decisions, auditing and surfacing vulnerabilities in our current products
• Developing and improving our automated tooling to scale our application security capabilities and find potential code problems both before and after we deploy
• Making the safe way, the easy way, by working on defining and building application guardrails so that developers can build securely by default
• Assisting in ongoing security operations, including incident response, vulnerability management, penetration testing, security reviews, and other operational tasks to ensure that our security program is operating at a world-class level

We use a variety of tools and technologies, including Cloud Security: Lacework, Languages: Python 3, TypeScript, Libraries: FastAPI, SQLAlchemy, React, Datastores: Postgres, Redis, Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka, Monitoring: Datadog, PagerDuty, Version Control: Github, Vulnerability Management: Snyk, Semgrep

If you have 0 → 1 security experience, strong cross-functional experience, strong technical depth and breadth, thrive in ambiguity, innovation at scale, results-driven, and mission-driven, you'll be great for this role.

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time.

Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

Being a Dialer

At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.

We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your role

Dialpad’s Product Engineering organization is responsible for building and maintaining the customer-facing features at scale across all of our cloud-native products and services.

Every day, millions of users across the world leverage our technology for communicating effectively and efficiently.

Every engineer on our global engineering team is given the opportunity to take ownership of a large portion of the product where they’re able to see immediate results.

Combining natural language processing and artificial intelligence with world-class cloud computing, the things you’ll create at Dialpad will shape the future of work,enabling companies to work from anywhere and making business communication more human.

Dialpad’s Analytics team owns data pipelines, multiple databases, a modular query layer, and rich FE components to deliver intuitive and powerful end-user-facing analytics experiences that allow Dialpad customers to make data-driven business decisions.

Our teams are highly collaborative and comprise cross-disciplinary professionals, including Product Managers, Designers, QA specialists, as well as Engineers specialising in Data Engineering, Data Science, and Telephony.

This position reports to the Engineering Manager, who is based in Bengaluru, and the role will be based in our Bengaluru, India Office.

The position will require a hybrid working arrangement based out of our Bengaluru office.

What you’ll do

• Contribute to the design, development, and maintenance of information retrieval and distributed systems.

• Build and optimize search engines, including indexers, analyzers, ranking, and re-ranking strategies.

• Work on hybrid search techniques, including dense vector manipulation, rank fusion, and reranking.

• Maintain and enhance highly scalable search platforms with a focus on performance and cost efficiency.

• Ensure high availability, reliability, and fault tolerance in search services.

• Collaborate with cross-functional teams to translate business requirements into technical solutions.

• Develop and optimize real-time distributed systems, microservices, and message-driven architectures.

• Implement and maintain monitoring, alerting, and performance metrics for platform reliability.

• Evaluate and integrate emerging technologies to improve search capabilities.

• Write clean, modular, and well-tested code while following best engineering practices.

• Participate in code reviews to ensure quality, maintainability, and scalability.

• Provide mentorship and technical guidance to junior engineers.

Skills you’ll bring

• 4-7 years of experience in information retrieval or distributed systems engineering.

• Strong understanding of search platforms and experience maintaining search engines at scale.

• Deep knowledge of indexers, analyzers, field mapping, and ranking techniques.

• Experience with NLP/NLU within the context of information retrieval.

• Expertise in dense vector manipulation and optimization.

• Familiarity with hybrid search, rank fusion, and reranking techniques.

• Proficiency in Go and Python 3 (experience with Rust or TypeScript is a plus).

• Strong understanding of distributed systems, microservices, and message-driven architectures.

• Passion for real-time performance optimization and high availability.

• Experience with API design using Swagger, OpenAPI, or equivalent tools.

• Knowledge of gRPC or equivalent RPC protocols.

• Experience with Docker and Kubernetes for containerized deployments.

• Familiarity with cloud platforms (GCP preferred, AWS/Azure optional).

• Hands-on experience with Infrastructure as Code tools like Terraform or Ansible.

• Knowledge of CI/CD frameworks and continuous delivery practices.

Why Join Dialpad

• Work at the center of the AI transformation in business communications

• Build and ship agentic AI products that are redefining how companies operate

• Join a team where AI amplifies every employee’s impact

• Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.

We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.

Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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This role is designed for engineers with several years of experience building and supporting production software who are excited to grow their technical scope and domain impact. Depending on experience and demonstrated impact, this role may be leveled as Software Engineer I (SWE I) or Software Engineer II (SWE II).

Key Responsibilities:

• Design, implement, test, and maintain features in BigHat's internally developed, cloud-based LIMS+ platform.
• Work independently on well-scoped features and improvements, following work through implementation, testing, and release.
• Collaborate closely with cross-functional partners (scientists, product owners, and other engineers) to translate real-world lab workflows into reliable software.
• Participate actively in engineering ceremonies, technical discussions, and code reviews.
• Own the quality and outcomes of your work, including debugging, test failures, and production issues.

This role reports to the Lab Systems Lead and works closely with the Lab Systems Product Owner, with responsibilities that impact teams across BigHat.

About You:

• You have experience contributing to and owning work in a production software environment.
• You are comfortable working independently on small to medium features and improvements.
• You communicate clearly about progress, risks, and tradeoffs, and collaborate effectively with peers and partners.
• You take ownership of your work and follow issues through to resolution.
• You are curious and motivated by building software that supports real users doing complex work.

Experience:

• 3–5 years of professional software engineering experience building production systems OR 2+ years of professional software engineering experience with prior experience in biotech, life sciences, laboratory environments, or scientific software, where domain knowledge meaningfully accelerates impact.

Relevant Tech / Skills:

• Experience with some (not necessarily all) of the following: TypeScript, React, Material-UI, Vega, Python 3, SQLAlchemy, RESTful API design, AWS (CDK, Lambda, Step Functions, ECS/Batch, Fargate, API Gateway, Athena), relational databases (e.g., PostgreSQL), Pandas, PyTorch or other ML frameworks (nice to have, not required).

Benefits:

• The salary estimated for this position is $135,000 - $175,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.
• Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
• Dental, and vision coverage through Guardian
• Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more
• 401(k) with company match
• DTO, two weeks of company-wide shutdown, and 12 company holidays
• Paid parental leave

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Join our skilled software engineering team and play a key role in delivering technical and functional quality, and excellence, of machine learning enabled solutions for film forecasting, distribution negotiation, automated scheduling, and business analysis.

Key Responsibilities

• Contribute to the design, development, and implementation of new features, and the enhancement and on-going maintenance of existing applications
• Collaborate with squad members, other engineering teams, and the architecture and product teams to design and implement new features and functionality
• Maintain quality, ensure responsiveness and security of applications
• Produce and ensure consistent code integrity and development

Requirements

• 8+ years proven development experience
• Web development experience
• Proven experience with Angular 13+ (TypeScript), C#, .NET Core, Python 3, FastAPI, Docker, Kubernetes, relational and document databases, cloud solutions, and advanced coding and problem-solving ability
• Strong team collaboration skills and ability to progress features from design to deployment with minimal supervision

Benefits

• Supported to continually learn and improve tech skills
• Share knowledge and ideas in the team
• Part of a dynamic and open culture
• Range of benefits including rest and relax Fridays, annual volunteer day, employee rewards and benefits with Perkbox, defined contribution company pension scheme, medical insurance/medical aid, employee assistance programme service, paid sick leave, and on-site breakfast bar

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